We are anonymous, we are legion

Presentation of the UID project by Ashok Dalwai – A Report

elonnai — 2012-03-21T10:09:48Z

On Tuesday, 7 September 2010, Ashok Dalwai, the Deputy Director General of the Unique Identification of India (UIDAI), gave a lecture at the Indian Institute for Science in Bangalore. Representing the UID Authority, his presentation explained the vision of the project and focused on the challenges involved in demographic and biometric identification, the technology adopted, and the enrolment process. Elonnai Hickok gives a report of his presentation in this blog post.

For more details visit https://cis-india.org/internet-governance/blog/uid-dalwai-presentation

Preliminary Submission on "Internet Governance Issues" to the Associated Chambers of Commerce & Industry of India

geetha — 2015-02-12T14:52:04Z

On January 30, 2015, Associated Chambers of Commerce & Industry of India (ASSOCHAM) held a consultation on Internet governance. A committee was set up to draft a report on Internet governance, with a focus on issues relevant to India. The Centre for Internet and Society (CIS) is represented on the committee, and has provided its preliminary comments to ASSOCHAM.

ASSOCHAM convened a meeting of its members and other stakeholders, at which CIS was represented. At this meeting, inputs were sought on Internet governance issues relevant for India, on which the industry body proposed to make comments to the Ministry of External Affairs, Government of India. Such a discussion, proposing to consolidate the views of ASSOCHAM members in consultation with other stakeholders, is a commendable move. This submission presents preliminary comments from the Centre for Internet and Society (CIS) in light of ASSOCHAM's consultation on Internet governance.

I. About CIS

1. CIS is a non-profit research organization that works, inter alia, on issues relating to privacy, freedom of expression, intermediary liability and internet governance, access to knowledge, open data and open standards, intellectual property law, accessibility for persons with disabilities, and engages in academic research on the budding Indian disciplines of digital natives and digital humanities.

2. CIS engages in international and domestic forums for Internet governance. We are a Sector-D member of the International Telecommunications Union (ITU),[1] and participated in the World Conference on International Telecommunications (WCIT), 2012 (Dubai) [2] and the Plenipotentiary Conference, 2014 (Busan).[3] We have also participated in the WSIS+10 Multistakeholder Preparatory Platform (MPP)[4] and the WSIS+10 High Level Event, organized by the ITU.[5]

3. CIS is also a member of the Non-Commercial Users Constituency (NCUC) at ICANN. Pranesh Prakash, our Policy Director, held a position on the NCUC Executive Committee from December 2013 to November 2014.[6]

4. CIS has been engaging at the Internet Governance Forum (IGF) since 2008, and has organized and participated in over 60 panels to date.[7] We have also organized panels at the Asia-Pacific Regional IGF (APrIGF). [8] Our Executive Director Sunil Abraham is a member of the Multistakeholder Advisory Group (MAG) for the India-IGF, and has attended in its meetings.[9] We are also in the process of developing international principles for intermediary liability, in collaboration with international civil society organisations like EFF and Article19. [10]

II. Structure of Submission

5. In this submission, we identify issues in Internet governance where engagement from and within India is necessary. In particular, brief descriptions of issues such as freedom of expression and privacy online, cyber-security, critical Internet resources and ICANN, multistakeholderism and net neutrality are provided.

III. Internet Governance Issues

6. The history of the Internet is unique, in that it is not exclusively government-regulated. Though governments regulate the Internet in many ways (for instance, by ordering website blocking or filtering, licensing of ISPs, encryption controls, investment caps, etc.), the running of the Internet is largely in the hands of private businesses, technical organisations and end-users.

7. International processes like the World Summit on Information Society (WSIS), and forums such as ICANN, the ITU, the IGF and the UN are involved in governing in the Internet in many ways. Regional organisations like the OECD, APEC and the Shanghai Cooperation Organisation (SCO) are also involved (for instance, in cyber-security matters).

8. The issues surrounding Internet governance are many, and range from telecom infrastructure and technical coordination to human rights and access to information.

Rights Online

9. The status of 'human rights online' has come under discussion, with the NETmundial Outcome Document affirming that offline rights must also be protected online. These issues are important in the context of, among others, the large scale violations of privacy in light of the Snowden Revelations,[11] and increased instances of website blocking and takedowns in different parts of the world.[12]

10. Internationally, issues of freedom of speech, privacy and access or the digital divide (though it is debatable that the latter is a human right) are discussed at the UN Human Rights Council, such as the resolution on human rights and the Internet, and the UN Human Rights Commissioner's report on the right to privacy in the digital age , which discusses the need for checks and balances on digital mass surveillance. During the Universal Periodic Review of India in 2012, India noted a recommendation from Sweden to " ensure that measures limiting freedom of expression on the internet is based on clearly defined criteria in accordance with international human rights standard ".

11. Freedom of speech and privacy are also relevant for discussion at the ITU.[13] For instance, at the Plenipotentiary meeting in 2014 (Busan), India proposed a resolution that sought, among other things, complete traceability of all Internet communications. [14] This has implications for privacy that are not yet addressed by our domestic laws. A Privacy Bill and such other protections are only in the pipeline in India.[15]

12. At ICANN as well, the root zone management function may affect freedom of expression. If, for instance, a top level domain (TLD) such as .com is erased from the root zone file, hundreds of thousands of websites and their content can be wiped from the World Wide Web. A TLD can be erased by Verisign if a request to that effect is raised or accepted by ICANN, and signed off on by the National Telecommunications and Information Administration (NTIA) of the US government. Similarly,the WHOIS database, which contains information about the holders of domain names and IP addresses, has implications for privacy and anonymity.

13. In India, the judiciary is currently adjudicating the constitutionality of several provisions of the Information Technology Act, 2000 (as amended in 2008), including S. 66A, S. 69A and S. 79. A series of writ petitions filed, among others, by the Internet Service Providers Association of India (ISPAI) and Mouthshut.com, relate to the constitutionality of the nature of content controls on the Internet, as well as intermediary liability. [16]

14. A judgment on the constitutionality of Ss. 66A, 69A and 79 are crucial for end-users and citizens, as well as companies in the Internet ecosystem. For instance, an uncertain intermediary liability regime with penalties for intermediaries - S. 79, IT Act and Intermediaries Guidelines Rules, 2011 - disincentivises ISPs, online news websites and other content providers like Blogger, Youtube, etc. from allowing free speech to flourish online. [17] The ongoing cases of Kamlesh Vaswani v. UOI and Sabu George v. UOI also have consequences for ISPs and search engines, as well as for fundamental rights.[18] International and domestic engagement is desirable, including in consultations with the Law Commission of India (for instance, the consultation on media laws).

Critical Internet Resources

15. Critical Internet Resources form the backbone of the Internet, and include management of IP addresses, the domain name system (DNS) and the root zone. [19] ICANN, a global non-profit entity incorporated in California, manages the IANA functions (Internet Assigned Numbers Authority) for the global Internet. These functions include allocating the global pool of IP addresses (IPv4 and IPv6) to Regional Internet Registries (RIRs), administering the domain name system and maintaining a protocol registry.

16. At present, the IANA functions are performed under a contract with the NTIA. On March 14, 2014, the NTIA announced its intention to transition oversight of the IANA functions to an as-yet-undetermined "global multi-stakeholder body". The deadline for this transition is September 30, 2015, though the NTIA has expressed its willingness to renew the IANA contract and extend the deadline. ICANN was charged with convening the transition process, and set up the IANA Coordination Group (ICG), a team of 30 individuals who will consolidate community input to create a transition proposal. At the moment, thenames (CWG-Names),numbers (CRISP) and protocols (IETF) communities are debating existing draft proposals. A number of new entities with which ICANN will have contractual arrangements have been proposed. At ICANN's meetings in Singapore (February 7-12, 2015) and Buenos Aires (June 2015), these proposals will be discussed.

17. At the same time, a parallel track to examine ICANN's own transparency and accountability has been introduced. The CCWG-Accountability is considering ICANN's accountability in two Workstreams: first, in light of the IANA transition and second, a revision of ICANN's policies and by-laws to strengthen accountability. ICANN's accountability and transparency are crucial to its continued role in Internet governance.

18. Several issues arise here: Should ICANN continue to remain in the US? Should the IANA Functions Department be moved into a separate entity from ICANN? Ought ICANN's by-laws be amended to create oversight over the Board of Directors, which is now seen to have consolidated power? Ought ICANN be more transparent in its financial and operational matters, proactively and reactively?

19. It is, for instance, beneficial to the stability of the Internet and to India if the IANA department is separate from ICANN - this will ensure aseparation of powers. Second, stronger transparency and accountability mechanisms are necessary for ICANN; it is a growing corporate entity performing a globally Internet function. As such, granular information about ICANN's revenues and expenses should be made public. See, for ex.,CIS' request for ICANN's expenses for travel and meetings, and ICANN's response to the same.

20. The most ideal forum to engage in this is ICANN, and within India, working groups on Internet governance at the Ministry level. As such, ASSOCHAM may seek open, transparent and inclusive consultations with the relevant departments of the Government (the Ministry of External Affairs, DeitY, Department of Telecommunications). At ICANN, industry bodies can find representation in the Business Constituency or the Commercial Stakeholders Group. Additionally, comments and proposals can be made to the ICG and the CCWG-Accountability by anyone.

Cyber-security

21. Cyber-security is often used as an umbrella-term, covering issues ranging from network security (DNSSEC and the ICANN domain), cyber-crime, and cyber-incidents such as the Distributed Denial of Service attacks on Estonian public institutions and the Stuxnet virus that attacked Iran's nuclear programme. Within the ITU, spam and child safety online are also assessed as security issues (See Study Group 17 under ITU-T).

22. At the international level, the UN Group of Governmental Experts has published three reports to date, arguing also that in cyber-security incidents, international humanitarian law will apply. International humanitarian law applies during armed attacks on states, when special rules apply to the treatment of civilians, civilian and military buildings, hospitals, wounded soldiers, etc.

23. The ITU also launched a Global Cybersecurity Agenda in 2007, aiming at international cooperation. Such cooperative methods are also being employed at the OSCE, APEC and the SCO, which have developed drafts of Confidence Building Measures. The Global Conferences on Cyberspace (London 2011, Budapest 2012, Seoul 2013, The Hague 2015) resulted in, inter alia, the Budapest Convention on Cybercrime. India has not ratified the Convention, and remains tight-lipped about its security concerns.

24. Surveillance and monitoring of online communications is a crucial issue in this regard. In India, the surveillance power finds its source in S. 5, Telegraph Act, 1888, and the Rule 419A of the Telegraph Rules, 1951. Further, S. 69 of the Information Technology Act, 2000 and the Interception Rules, 2009 enable the government and authorized officers to intercept and monitor Internet traffic on certain grounds. Information regarding the implementation of these Rules is scant.

25. In any event, the applicability of targeted surveillance should be subject to judicial review , and a balance should be struck between fundamental rights such as freedom of speech and privacy and the needs of security. An accountability model such as that present in the UK for the Interception of Communications Commissioner may provide valuable insight.

26. In India, the government does not make public information regarding its policies in cyber-security and cybercrime. This would be welcome, as well as consultations with relevant stakeholders.

Models of Internet Governance

27. Multi-stakeholderism has emerged as one of the catchphrases in Internet governance. With the display of a multi-stakeholder model at NETmundial (April 2014), controversies and opinions regarding the meaning, substance and benefits of multi-stakeholderism have deepened.

28. The debates surrounding stakeholder-roles in Internet governance began with ¶49 of the Geneva Declaration of Principles and ¶35 of the Tunis Agenda, which delineated clear roles and responsibilities. It created a 'contributory' multi-stakeholder model, where states held sovereign authority over public policy issues, while business and civil society were contributed to 'important roles' at the 'technical and economic fields' and the 'community level', respectively.

29. As the WGEC meeting (April 30-May 2, 2014) demonstrated, there is as yet no consensus on stakeholder-roles. Certain governments remain strongly opposed to equal roles of other stakeholders, emphasizing their lack of accountability and responsibility. Civil society is similarly splintered, with a majority opposing the Tunis Agenda delineation of stakeholder-roles, while others remain dubious of permitting the private sector an equal footing in public policy-making.

30. The positions in India are similarly divided. While there is appears to be high-level acceptance of "multi-stakeholder models" across industry, academia and civil society, there exists no clarity as to what this means. In simple terms, does a multi-stakeholder model mean that the government should consult industry, civil society, academia and the technical community? Or should decision-making power be split among stakeholders? In fact, the debate is more specific.

31. In India, the Multistakeholder Advisory Group (MAG) for the India-IGF was established in February 2014, and some meetings were held. Unfortunately, neither the minutes of the meetings nor action points (if any) are publicly available.

32. The Indian government's position is more complex. At the 68^th UN General Assembly session in 2011, India argued for a (multilateral) 50-member UN Committee on Internet-related Policies (CIRP). However, the Ministry for Communications and Information Technology (MCIT) has, over the years, presented differing views at the IGF and ITU through its two departments: DeitY and DoT. Further, at the meetings of the Working Group on Enhanced Cooperation (WGEC), India has presented more nuanced views, suggesting that certain issues remain within the governmental domain (such as cyber-security and child online protection). At the 9^th IGF (Istanbul, September 2014), Mr. R.S. Sharma of the DeitY echoed such a view of delineated roles for stakeholders.

33. A clear message from the Indian government, on whether it favours multistakeholderism or governmental policy authority for specific issues, would be invaluable in shaping opinion and domestic processes. In any event, a transparent consultative procedure to take into account the views of all stakeholders is desirable.

Emerging Issues

Net Neutrality

34. In simple terms, net neutrality concerns differential treatment of packets of data by carriers such as ISPs, etc. over networks. The issue has gained international attention following the U.S. FCC's regulatory stance, and the U.S. Court of Appeal's 2014 decision in Verizon v. FCC. Though this decision turned on the interpretation of 'broadband providers' under the Communications Act, 1934, net neutrality has since been debated in the US, both by the FCC and other stakeholders. There is no international consensus in sight; the NETmundial Outcome Document recognized net neutrality as an emerging issue (page 11, no. IV).

35. In India, a TRAI consultation on Over-The-Top Services on August 5, 2014 brought concerns of telecom and cellular operators to light. OTTs were seen as hijacking a portion of telcos' revenues, and as lacking consumer protection and privacy safeguards. While these concerns are legitimate, net neutrality regulation is not yet the norm in India. In any event, any such regulation must take into account the consequences of regulation on innovation, competition, and consumer choice, as well as on the freedom of the medium (which may have detrimental impacts freedom of expression).

36. Though net neutrality regulation is being mooted, there is as yet anarray of definitions of 'net neutrality'. The views of telcos themselves differ in India. Further study on the methods of identifying and/or circumventing net neutrality is necessary before a policy position can be taken.

IV. Conclusions

37. CIS welcomes ASSOCHAM's initiative to study and develop industry-wide positions on Internet governance. This note provides brief descriptions of several issues in Internet governance where policy windows are open internationally and domestically. These issues include freedom of expression and privacy under Part III (Fundamental Rights) of the Constitution of India. The Supreme Court's hearing of a set of cases alleging unconstitutionality of Ss. 66A, 69, 69A and 79 (among others) of the IT Act, 2000, as well as consultations on issues such as pornography by the Rajya Sabha Parliamentary Committee and media laws by the Law Commission of India are important in this regard.

38. International and domestic engagement is necessary in the transition of stewardship of the IANA functions, as well as ICANN's own accountability and transparency measures. Similarly, in the area of cyber-security, though several initiatives are afoot internationally, India's engagement has been cursory until now. A concrete position from India's stakeholders, including the government, on these and the question of multi-stakeholderism in Internet governance would be of immense assistance.

39. Finally, net neutrality is an emerging issue of importance to industry's revenues and business models, and to users' rights such as access to information and freedom of expression.

[1] CIS gets ITU-D Sector Membership, goo.gl/PBGKWt (l.a. 8 Feb. 2015).

[2] Letter for Civil Society Involvement in WCIT, goo.gl/gXpYQD (l.a. 8 Feb. 2015).

[3] See, ex., Hariharan, What India's ITU Proposal May Mean for Internet Governance, goo.gl/hpWaZn (l.a. 8 Feb. 2015).

[4] Panday, WSIS +10 High Level Event: Open Consultation Process MPP: Phase Six: Fifth Physical Meeting, goo.gl/3XR24X (l.a. 8 Feb. 2015).

[5] Hariharan, WSIS+10 High Level Event: A Bird's Eye Report, goo.gl/8XkwyJ (l.a. 8 Feb. 2015).

[6] Pranesh Prakash elected as Asia-Pacific Representative to the Executive Committee of NonCommercial Users Constituency, goo.gl/iJM7C0 (l.a. 8 Feb. 2015).

[7] See, ex., CIS@IGF 2014, goo.gl/Werdiz (l.a. 8 Feb. 2015).

[8] Multi-stakeholder Internet Governance: The Way Ahead , goo.gl/NuktNi; Minimising legal risks of online Intermediaries while protecting user rights, goo.gl/mjQyww (l.a. 8 Feb. 2015).

[9] First Meeting of the Multistakeholder Advisory Group for India Internet Governance Forum, goo.gl/NCmKRp (l.a. 8 Feb. 2015).

[10] See Zero Draft of Content Removal Best Practices White Paper, goo.gl/RnAel8 (l.a. 8 Feb. 2015).

[11] See, ex., UK-US surveillance regime was unlawful 'for seven years', goo.gl/vG8W7i (l.a. 9 Feb. 2015).

[12] See, ex., Twitter: Turkey tops countries demanding content removal, goo.gl/ALyO3B (l.a. 9 Feb. 2015).

[13] See, ex., The ITU convenes a programme on Child Online Protection, goo.gl/qJ4Es7 (l.a. 9 Feb. 2015).

[14] Hariharan, Why India's Proposal at the ITU is Troubling for Internet Freedoms, goo.gl/Sxh5K8 (l.a. 9 Feb. 2015).

[15] Hickok, Report of the Group of Experts on Privacy vs. The Leaked 2014 Privacy Bill, goo.gl/454qA6 (l.a. 9 Feb. 2015).

[16] See, Supreme Court Of India To Hear Eight IT Act Related Cases On 11th April 2014 - SFLC, goo.gl/XLWsSq (l.a. 9 Feb. 2015).

[17] See, Dara, Intermediary Liability in India: Chilling Effects on Free Expression on the Internet, goo.gl/bwBT0x (l.a. 9 Feb. 2015).

[18] See, ex., Arun, Blocking online porn: who should make Constitutional decisions about freedom of speech?,goo.gl/NPdZcK; Hariharan & Subramanian, Search Engine and Prenatal Sex Determination: Walking the Tight Rope of the Law, goo.gl/xMj4Zw (l.a. 9 Feb. 2015).

[19] CSTD, The mapping of international Internet public policy issues, goo.gl/zUWdI1 (l.a. 9 Feb. 2015).

For more details visit https://cis-india.org/internet-governance/blog/preliminary-submission-on-internet-governance-issues-to-assocham

Predictive Policing: What is it, How it works, and its Legal Implications

Rohan George — 2015-11-24T16:31:41Z

This article reviews literature surrounding big data and predictive policing and provides an analysis of the legal implications of using predictive policing techniques in the Indian context.

Introduction

For the longest time, humans have been obsessed with prediction. Perhaps the most well-known oracle in history, Pythia, the infallible Oracle of Delphi was said to predict future events in hysterical outbursts on the seventh day of the month, inspired by the god Apollo himself. This fascination with informing ourselves about future events has hardly subsided in us humans. What has changed however is the methods we employ to do so. The development of Big data technologies for one, has seen radical applications into many parts of life as we know it, including enhancing our ability to make accurate predictions about the future.

One notable application of Big data into prediction caters to another basic need since the dawn of human civilisation, the need to protect our communities and cities. The word 'police' itself originates from the Greek word 'polis', which means city. The melding of these two concepts prediction and policing has come together in the practice of Predictive policing, which is the application of computer modelling to historical crime data and metadata to predict future criminal activity[1]. In the subsequent sections, I will attempt an introduction of predictive policing and explain some of the main methods within the domain of predictive policing. Because of the disruptive nature of these technologies, it will also be prudent to expand on the implications predictive technologies have for justice, privacy protections and protections against discrimination among others.

In introducing the concept of predictive policing, my first step is to give a short explanation about current predictive analytics techniques, because these techniques are the ones which are applied into a law enforcement context as predictive policing.

What is predictive analysis

Facilitated by the availability of big data, predictive analytics uses algorithms to recognise data patterns and predict future outcomes[2]. Predictive analytics encompasses data mining, predictive modeling, machine learning, and forecasting[3]. Predictive analytics also relies heavily on machine learning and artificial intelligence approaches [4]. The aim of such analysis is to identify relationships among variables that may not be immediately apparent using hypothesis-driven methods.[5] In the mainstream media, one of the most infamous stories about the use of predictive analysis comes from USA, regarding a department store Target and their data analytics practices [6]. Target mined data from purchasing patterns of people who signed onto their baby registry. From this they were able to predict approximately when customers may be due and target advertisements accordingly. In the noted story, they were so successful that they predicted pregnancy before the pregnant girl's father knew she was pregnant. [7]

Examples of predictive analytics

Predicting the success of a movie based on its online ratings[8]
Many universities, sometimes in partnership with other firms use predictive analytics to provide course recommendations to students, track student performance, personalize curriculum to individual students and foster networking between students.[9]
Predictive Analysis of Corporate Bond Indices Returns[10]

Relationship between predictive analytics and predictive policing

The same techniques used in many of the predictive methods mentioned above find application into some predictive policing methods. However two important points need to be raised:

First, predictive analytics is actually a subset of predictive policing. This is because while the steps in creating a predictive model, of defining a target variable, exposing your model to training data, selecting appropriate features and finally running predictive analysis [11] maybe the same in a policing context, there are other methods which may be used to predict crime, but which do not rely on data mining. These techniques may instead use other methods, such as some of those detailed below along with data about historical crime to generate predictions.

In her article "Policing by Numbers: Big Data and the Fourth Amendment"[12], Joh categorises 3 main applications of Big data into policing. These are Predictive Policing, Domain Awareness systems and Genetic Data Banks. Genetic data banks refer to maintaining large databases of DNA that was collected as part of the justice system. Issues arise when the DNA collected is repurposed in order to conduct familial searches, instead of being used for corroborating identity. Familial searches may have disproportionate impacts on minority races. Domain Awareness systems use various computer software and other digital surveillance tools such as Geographical Information Systems [13] or more illicit ones such as Black Rooms[14] to "help police create a software-enhanced picture of the present, using thousands of data points from multiple sources within a city" [15]. I believe Joh was very accurate in separating Predictive Policing from Domain Awareness systems, especially when it comes to analysing the implications of the various applications of Big data into policing.

In such an analysis of the implications of using predictive policing methods, the issues surrounding predictive technologies often get conflated with larger issues about the application of big data into law enforcement. That opens the debate up to questions about overly intrusive evidence gathering and mass surveillance systems, which though used along with predictive technology, are not themselves predictive in nature. In this article, I aim to concentrate on the specific implications that arise due to predictive methods.

One important point regarding the impact of predictive policing is how the insights that predictive policing methods offer are used. There is much support for the idea that predictive policing does not replace policing methods, but actually augments them. The RAND report specifically cites one myth about predictive policing as "the computer will do everything for you[16]". In reality police officers need to act on the recommendations provided by the technologies.

What is Predictive policing?

Predictive policing is the "application of analytical techniques-particularly quantitative techniques-to identify likely targets for police intervention and prevent crime or solve past crimes by making statistical predictions".[17] It is important to note that the use of data and statistics to inform policing is not new. Indeed, even twenty years ago, before the deluge of big data we have today, law enforcement regimes such as the New York Police Department (NYPD) were already using crime data in a major way. In order to keep track of crime trends, NYPD used the software CompStat[18] to map "crime statistics along with other indicators of problems, such as the locations of crime victims and gun arrests"[19]. The senior officers used the information provided by CompStat to monitor trends of crimes on a daily basis and such monitoring became an instrumental way to track the performance of police agencies[20]. CompStat has since seen application in many other jurisdictions [21].

But what is new is the amount of data available for collection, as well as the ease with which organisations can analyse and draw insightful results from that data. Specifically, new technologies allow for far more rigorous interrogation of data and wide-ranging applications, including adding greater accuracy to the prediction of future incidence of crime.

Predictive Policing methods

Some methods of predictive policing involve application of known standard statistical methods, while other methods involve modifying these standard techniques. Predictive techniques that forecast future criminal activities can be framed around six analytic categories. They all may overlap in the sense that multiple techniques are used to create actual predictive policing software and in fact it is similar theories of criminology which undergird many of these methods, but the categorisation in such a way helps clarify the concept of predictive policing. The basis for the categorisation below comes from a RAND Corporation report entitled 'Predictive Policing: The Role of Crime Forecasting in Law Enforcement Operations' [22], which is a comprehensive and detailed contribution to scholarship in this nascent area.

Hot spot analysis: Methods involving hot spot analysis attempt to "predict areas of increased crime risk based on historical crime data"[23]. The premise behind such methods lies in the adage that "crime tends to be lumpy" [24]. Hot Spot analysis seeks to map out these previous incidences of crime in order to inform potential future crime.

Regression methods: A regression aims to find relationships between independent variables (factors that may influence criminal activity) and certain variables that one aims to predict. Hence, this method would track more variables than just crime history.

Data mining techniques: Data mining attempts to recognise patterns in data and use it to make predictions about the future. One important variant in the various types of data mining methods used in policing are different types of algorithms that are used to mine data in different ways. These are dependent on the nature of the data the predictive model was trained on and will be used to interrogate in the future. Two broad categories of algorithms commonly used are clustering algorithms and classification algorithms:

· Clustering algorithms "form a class of data mining approaches that seek to group data into clusters with similar attributes" [25]. One example of clustering algorithms is spatial clustering algorithms, which use geospatial crime incident data to predict future hot spots for crime[26].

· Classification algorithms "seek to establish rules assigning a class or label to events"[27]. These algorithms use training data sets "to learn the patterns that determine the class of an observation"[28] The patterns identified by the algorithm will be applied to future data, and where applicable, the algorithm will recognise similar patterns in the data. This can be used to make predictions about future criminal activity for example.

Near-repeat methods: Near-repeat methods work off the assumption that future crimes will take place close to timing and location of current crimes. Hence, it could be postulated that areas of high crime will experience more crime in the near future[29]. This involves the use of a 'self-exciting' algorithm, very similar to algorithms modelling earthquake aftershocks [30]. The premise undergirding such methods is very similar to that of hot spot analysis.

Spatiotemporal analysis: Using "environmental and temporal features of the crime location" [31] as the basis for predicting future crime. By combining the spatiotemporal features of the crime area with crime incident data, police could use the resultant information to predict the location and time of future crimes. Examples of factors that may be considered include timing of crimes, weather, distance from highways, time from payday and many more.

Risk terrain analysis: Analyses other factors that are useful in predicting crimes. Examples of such factors include "the social, physical, and behavioural factors that make certain areas more likely to be affected by crime"[32]

Various methods listed above are used, often together, to predict the where and when a crime may take place or even potential victims. The unifying thread which relates these methods is their dependence on historical crime data.

Examples of predictive policing:

Most uses of predictive policing that have been studied and reviewed in scholarly work come from the USA, though I will detail one case study from Derbyshire, UK. Below is a collation of various methods that are a practical application of the methods raised above.

Hot Spot analysis in Sacramento: In February 2011, Sacramento Police Department began using hot spot analysis along with research on optimal patrol time to act as a sufficient deterrent to inform how they patrol high-risk areas. This policy was aimed at preventing serious crimes by patrolling these predicted hot spots. In places where there was such patrolling, serious crimes reduced by a quarter with no significant increases such crimes in surrounding areas[33].

Data Mining and Hot Spot Mapping in Derbyshire, UK: The Safer Derbyshire Partnership, a group of law enforcement agencies and municipal authorities sought to identify juvenile crime hotspots[34]. They used MapInfo software to combine "multiple discrete data sets to create detailed maps and visualisations of criminal activity, including temporal and spatial hotspots" [35]. This information informed law enforcement about how to optimally deploy their resources.

Regression models in Pittsburgh: Researchers used reports from Pittsburgh Bureau of Police about violent crimes and "leading indicator" [36] crimes, crimes that were relatively minor but which could be a sign of potential future violent offences. The researcher ran analysis of areas with violent crimes, which were used as the dependent variable in analysing whether violent crimes in certain areas could be predicted by the leading indicator data. From the 93 significant violent crime areas that were studied, 19 areas were successfully predicted by the leading indicator data.[37]

Risk terrain modelling analysis in Morris County, New Jersey: Police in Morris County, used risk terrain analysis to tackle violent crimes and burglaries. They considered five inputs in their model: "past burglaries, the address of individuals recently arrested for property crimes, proximity to major highways, the geographic concentration of young men and the location of apartment complexes and hotels." [38] The Morris County law enforcement officials linked the significant reductions in violent and property crime to their use of risk terrain modelling[39].

Near-repeat & hot spot analysis used by Santa Cruz Police Department: Uses PredPol software that applies the Mohler's algorithm [40] to a database with five years' worth of crime data to assess the likelihood of future crime occurring in the geographic areas within the city. Before going on shift, officers receive information identifying 15 such areas with the highest probability of crime[41]. The initiative has been cited as being very successful at reducing burglaries, and was used in Los Angeles and Richmond, Virginia[42].

Data Mining and Spatiotemporal analysis to predict future criminal activities in Chicago: Officers in Chicago Police Department made visits to people their software predicted were likely to be involved in violent crimes[43], guided by an algorithm-generated "Heat List"[44]. Some of the inputs used in the predictions include some types of arrest records, gun ownership, social networks[45] (police analysis of social networking is also a rising trend in predictive policing[46]) and generally type of people you are acquainted with [47] among others, but the full list of the factors are not public. The list sends police officers (or sometimes mails letters) to peoples' homes to offer social services or deliver warnings about the consequences for offending. Based in part on the information provided by the algorithm, officers may provide people on the Heat List information about vocational training programs or warnings about how Federal Law provides harsher punishments for reoffending[48].

Predictive policing in India

In this section, I map out some of the developments in the field of predictive policing within India. On the whole, predictive policing is still very new in India, with Jharkhand being the only state that appears to already have concrete plans in place to introduce predictive policing.

Jharkhand Police

The Jharkhand police began developing their IT infrastructure such as a Geographic Information System (GIS) and Server room when they received funding for Rs. 18.5 crore from the Ministry of Home Affairs[49]. The Open Group on E-governance (OGE), founded as a collaboration between the Jharkhand Police and National Informatics Centre[50], is now a multi-disciplinary group which takes on different projects related to IT[51]. With regards to predictive policing, some members of OGE began development in 2013 of data mining software which will scan online records that are digitised. The emerging crime trends "can be a building block in the predictive policing project that the state police want to try."[52]

The Jharkhand Police was also reported in 2012 to be in the final stages of forming a partnership with IIM-Ranchi[53]. It was alleged the Jharkhand police aimed to tap into IIM's advanced business analytics skills [54], skills that can be very useful in a predictive policing context. Mr Pradhan suggested that "predictive policing was based on intelligence-based patrol and rapid response"[55] and that it could go a long way to dealing with the threat of Naxalism in Jharkhand[56].

However, in Jharkhand, the emphasis appears to be targeted at developing a massive Domain Awareness system, collecting data and creating new ways to present that data to officers on the ground, instead of architecting and using predictive policing software. For example, the Jharkhand police now have in place "a Naxal Information System, Crime Criminal Information System (to be integrated with the CCTNS) and a GIS that supplies customised maps that are vital to operations against Maoist groups"[57]. The Jharkhand police's "Crime Analytics Dashboard" [58] shows the incidence of crime according to type, location and presents it in an accessible portal, providing up-to-date information and undoubtedly raises the situational awareness of the officers. Arguably, the domain awareness systems that are taking shape in Jharkhand would pave the way for predictive policing methods to be applied in the future. These systems and hot spot maps seem to be the start of a new age of policing in Jharkhand.

Predictive Policing Research

One promising idea for predictive policing in India comes from the research conducted by Lavanya Gupta and others entitled "Predicting Crime Rates for Predictive Policing"[59], which was a submission for the Gandhian Young Technological Innovation Award. The research uses regression modelling to predict future crime rates. Drawing from First Information Reports (FIRs) of violent crimes (murder, rape, kidnapping etc.) from Chandigarh Police, the team attempted "to extrapolate annual crime rate trends developed through time series models. This approach also involves correlating past crime trends with factors that will influence the future scope of crime, in particular demographic and macro-economic variables" [60]. The researchers used early crime data as the training data for their model, which after some testing, eventually turned out to have an accuracy of around 88.2%.[61] On the face of it, ideas like this could be the starting point for the introduction of predictive policing into India.

The rest of India's law enforcement bodies do not appear to be lagging behind. In the 44^th All India police science congress, held in Gandhinagar, Gujarat in March this year, one of the Themes for discussion was the "Role of Preventive Forensics and latest developments in Voice Identification, Tele-forensics and Cyber Forensics"[62].Mr A K Singh, (Additional Director General of Police, Administration) the chairman of the event also said in an interview that there was to be a round-table DGs (Director General of Police) held at the conference to discuss predictive policing[63]. Perhaps predictive policing in India may not be that far away from reality.

CCTNS and the building blocks of Predictive policing

The Ministry of Home Affairs conceived of a Crime and Criminals Tracking and Network System (CCTNS) as part of national e-Governance plans. According to the website of the National Crime Records Bureau (NCRB), CCTNS aims to develop "a nationwide networked infrastructure for evolution of IT-enabled state-of-the-art tracking system around 'investigation of crime and detection of criminals' in real time" [64]

The plans for predictive policing seem in the works, but first steps that are needed in India across police forces involve digitizing data collection by the police, as well as connecting law enforcement agencies. The NCRB's website described the current possibility of exchange of information between neighbouring police stations, districts or states as being "next to impossible"[65]. The aim of CCTNS is precisely to address this gap and integrate and connect the segregated law enforcement arms of the state in India, which would be a foundational step in any initiatives to apply predictive methods.

What are the implications of using predictive policing? Lessons from USA

Despite the moves by law enforcement agencies to adopt predictive policing, one reality is that the implications of predictive policing methods are far from clear. This section will examine these implications on the carriage of justice and its use in law, as well as how it impacts privacy concerns for the individual. It frames the existing debates surrounding these issues with predictive policing, and aims to apply these principles into an Indian context.

Justice, Privacy & IV Amendment

Two key concerns about how predictive policing methods may be used by law enforcement relate to how insights from predictive policing methods are acted upon and how courts interpret them. In the USA, this issue may finds its place under the scope of IV Amendment jurisprudence. The IV amendment states that all citizens are "secure from unreasonable searches and seizures of property by the government"[66]. In this sense, the IV amendment forms the basis for search and surveillance law in the USA.

A central aspect of the IV Amendment jurisprudence is drawn from United States v. Katz. In Katz, the FBI attached a microphone to the outside of a public phone booth to record the conversations of Charles Katz, who was making phone calls related to illegal gambling. The court ruled that such actions constituted a search within the auspices of the 4^th amendment. The ruling affirmed constitutional protection of all areas where someone has a "reasonable expectation of privacy"[67].

Later cases have provided useful tests for situations where government surveillance tactics may or may not be lawful, depending on whether it violates one's reasonable expectation of privacy. For example, in United States v. Knotts, the court held that "police use of an electronic beeper to follow a suspect surreptitiously did not constitute a Fourth Amendment search"[68]. In fact, some argue that that the Supreme Court's reasoning in such cases suggests " any 'scientific enhancement' of the senses used by the police to watch activity falls outside of the Fourth Amendment's protections if the activity takes place in public"[69]. This reasoning is based on the third party doctrine which holds that "if you voluntarily provide information to a third party, the IV Amendment does not preclude the government from accessing it without a warrant"[70]. The clearest exposition of this reasoning was in Smith v. Maryland, where the presiding judges noted that "this Court consistently has held that a person has no legitimate expectation of privacy in information he voluntarily turns over to third parties"[71].

However, the third party has seen some challenge in recent time. In United States v. Jones, it was ruled that the government's warrantless GPS tracking of his vehicle 24 hours a day for 28 days violated his Fourth Amendment rights[72]. Though the majority ruling was that warrantless GPS tracking constituted a search, it was in a concurring opinion written by Justice Sonya Sotomayor that such intrusive warrantless surveillance was said to infringe one's reasonable expectation of privacy. As Newell reflected on Sotomayor's opinion,

"Justice Sotomayor stated that the time had come for Fourth Amendment jurisprudence to discard the premise that legitimate expectations of privacy could only be found in situations of near or complete secrecy. Sotomayor argued that people should be able to maintain reasonable expectations of privacy in some information voluntarily disclosed to third parties"[73].

She said that the court's current reasoning on what constitutes reasonable expectations of privacy in information disclosed to third parties, such as email or phone records or even purchase histories, is "ill-suited to the digital age, in which people reveal a great deal of information about themselves to third parties in the course of carrying out mundane tasks"[74].

Predictive policing vs. Mass surveillance and Domain Awareness Systems

However, there is an important distinction to be drawn between these cases and evidence from predictive policing. This has to do with the difference in nature of the evidence collection. Arguably, from Jones and others, what we see is that use of mass surveillance and domain awareness systems, drawing from Joh's categorisation of domain awareness systems as being distinct from predictive policing mentioned above, could potentially encroach on one's reasonable expectation of privacy. However, I think that predictive policing, and the possible implications for justice associated with it, its predictive harms, are quite distinct from what has been heard by courts thus far.

The reason for distinct risks between predictive harms and privacy harms originating from information gathering is related to the nature of predictive policing technologies, and how they are used. It is highly unlikely that the evidence submitted by the State to indict an offender will be mainly predictive in nature. For example, would it be possible to convict an accused person solely on the premise that he was predicted to be highly likely to commit a crime, and that subsequently he did? The legal standard of proving guilt beyond a reasonable doubt [75] can hardly be met solely on predictive evidence for a multitude of reasons. Predictive policing methods could at most, be said to inform police about the risk of someone committing a crime or of crime happening at a certain location, as demonstrated above.

Predictive policing and Criminal Procedure

It may therefore pay to analyse how predictive policing may be used across the various processes within the criminal justice system. In fact, in an analysis of the various stages of criminal procedure, from opening an investigation to gathering evidence, followed by arrest, trial, conviction and sentencing, we see that as the individual gets subject to more serious incursions or sanctions by the state, it takes a higher standard of certainty about wrongdoing and a higher burden of proof, in order to legitimize that particular action.

Hence, at more advanced stages of the criminal justice process such as seeking arrest warrants or trial, it is very unlikely that predictive policing on its own can have a tangible impact, because the nature of predictive evidence is probability based. It aims to calculate the risk of future crime occurring based on statistical analysis of past crime data[76]. While extremely useful, probabilities on their own will not come remotely close meet the legal standards of proving 'guilt beyond reasonable doubt'. It may be at the earlier stages of the criminal justice process that evidence predictive policing might see more widespread application, in terms of applying for search warrants and searching suspicious people while on patrol.

In fact, in the law enforcement context, prediction as a concept is not new to justice. Both courts and law enforcement officials already make predictions about future likelihood of crimes. In the case of issuing warrants, the IV amendment makes provisions that law enforcement officials show that the potential search is based "upon probable cause"[77] in order for a judge to grant a warrant. In US v. Brinegar, probable cause was defined as existing "where the facts and circumstances within the officers' knowledge, and of which they have reasonably trustworthy information, are sufficient in themselves to warrant a belief by a man of reasonable caution that a crime is being committed" [78]. Again, this legal standard seems too high for predictive evidence meet.

However, the police also have an important role to play in preventing crimes by looking out for potential crimes while on patrol or while doing surveillance. When the police stop a civilian on the road to search him, reasonable suspicion must be established. This standard of reasonable suspicion was defined in most clearly in Terry v. Ohio, which required police to "be able to point to specific and articulable facts which, taken together with rational inferences from those facts, reasonably warrant that intrusion"[79]. Therefore, "reasonable suspicion that 'criminal activity may be afoot' is at base a prediction that the facts and circumstances warrant the reasonable prediction that a crime is occurring or will occur"[80]. Despite the assertion that "there are as of yet no reported cases on predictive policing in the Fourth Amendment context"[81], examining the impact of predictive policing on the doctrine of reasonable suspicion could be very instructive in understanding the implications for justice and privacy [82].

Predictive Policing and Reasonable Suspicion

Ferguson's insightful contribution to this area of scholarship involves the identification of existing areas where prediction already takes place in policing, and analogising them into a predictive policing context[83]. These three areas are: responding to tips, profiling, and high crime areas (hot spots).

Tips

Tips are pieces of information shared with the police by members of the public. Often tips, either anonymous or from known police informants, may predict future actions of certain people, and require the police to act on this information. The precedent for understanding the role of tips in probable cause comes from Illinois v. Gates[84]. It was held that "an informant's 'veracity,' 'reliability,' and 'basis of knowledge'-remain 'highly relevant in determining the value'"[85] of the said tip. Anonymous tips need to be detailed, timely and individualised enough[86] to justify reasonable suspicion [87]. And when the informant is known to be reliable, then his prior reliability may justify reasonable suspicion despite lacking a basis in knowledge[88].

Ferguson argues that whereas predictive policing cannot provide individualised tips, it is possible to consider reliable tips about certain areas as a parallel to predictive policing[89]. And since the courts had shown a preference for reliability even in the face of a weak basis in knowledge, it is possible to see the reasonable suspicion standard change in its application[90]. It also implies that IV protections may be different in places where crime is predicted to occur [91].

Profiling

Despite the negative connotations and controversial overtones at the mere sound of the word, profiling is already a method commonly used by law enforcement. For example, after a crime has been committed and general features of the suspect identified by witnesses, police often stop civilians who fit this description. Another example of profiling is common in combating drug trafficking[92], where agents keep track of travellers at airports to watch for suspicious behaviour. Based on their experience of common traits which distinguish drug traffickers from regular travellers (a profile), agents may search travellers if they fit the profile[93]. In the case of United States v. Sokolow[94], the courts "recognized that a drug courier profile is not an irrelevant or inappropriate consideration that, taken in the totality of circumstances, can be considered in a reasonable suspicion determination" [95]. Similar lines of thinking could be employed in observing people exchanging small amounts of money in an area known for high levels of drug activity, conceiving predictive actions as a form of profile[96].

It is valid to consider predictive policing as a form of profiling[97], but Ferguson argues that the predictive policing context means this 'new form' of profiling could change IV analysis. The premise behind such an argument lies in the fact that a prediction made by some algorithm about potential high risk of crime in a certain area, could be taken in conjunction observations of ordinarily innocuous events. Read in the totality of circumstances, these two threads may justify individual reasonable suspicion [98]. For example, a man looking into cars at a parking lot may not by itself justify reasonable suspicion, but taken together with a prediction of high risk of car theft at that locality, it may well justify reasonable suspicion. It is this impact of predictive policing, which influences the analysis of reasonable suspicion in a totality of circumstances that may represent new implications for courts looking at IV amendment protections.

Profiling, Predictive Policing and Discrimination

The above sections have already brought up the point that law enforcement agencies already utilize profiling methods in their operations. Also, as the sections on how predictive analytics works and on methods of predictive policing make clear, predictive policing definitely incorporates the development of profiles for predicting future criminal activity. Concerns about predictive models generate potentially discriminatory predictions therefore are very serious, and need addressing. Potential discrimination may be either overt, though far less likely, or unintended. A valuable case study of which sheds light on such discriminatory data mining practices can be found in US Labour law. It was shown how predictive models could be discriminatory at various stages, from conceptualising the model and training it with training data, to eventually selecting inappropriate features to search for [99]. It is also possible for data scientists to (intentionally or not) use proxies for identifiers like race, income level, health condition and religion. Barocas and Selbst argue that "the current distribution of relevant attributes-attributes that can and should be taken into consideration in apportioning opportunities fairly-are demonstrably correlated with sensitive attributes" [100]. Hence, what may result is unintended discrimination, as predictive models and their subjective and implicit biases are reflected in predicted decisions, or that the discrimination is not even accounted for in the first place. While I have not found any case law where courts have examined such situations in a criminal context, at the very least, law enforcement agencies need to be aware of these possibilities and guard against any forms of discriminatory profiling.

However, Ferguson argues that "the precision of the technology may in fact provide more protection for citizens in broadly defined high crime areas" [101]. This is because the label of a 'high-crime area' may no longer apply to large areas but instead to very specific areas of criminal activity. This implies that previously defined areas of high crime, like entire neighbourhoods may not be scrutinised in such detail. Instead, police now may be more precise in locating and policing areas of high crime, such as an individual street corner or a particular block of flats instead of an entire locality.

Hot Spots

Courts have also considered the existence of notoriously 'high-crime areas as part of considering reasonable suspicion[102]. This was seen in Illinois v. Wardlow [103], where the "high crime nature of an area can be considered in evaluating the officer's objective suspicion"[104]. Many cases have since applied this reasoning without scrutinising the predictive value of such a label. In fact, Ferguson asserts that such labelling has questionable evidential value[105]. He uses the facts of the Wardlow case itself to challenge the 'high crime area' factor. Ferguson cites the reasoning of one of the judges in the case:

"While the area in question-Chicago's District 11-was a low-income area known for violent crimes, how that information factored into a predictive judgment about a man holding a bag in the afternoon is not immediately clear."[106]

Especially because "the most basic models of predictive policing rely on past crimes"[107], it is likely that the predictive policing methods like hot spot or spatiotemporal analysis and risk terrain modelling may help to gather or build data models about high crime areas. Furthermore, the mathematical rigour of the predictive modelling could help clarify the term 'high crime area'. As Ferguson argues, "courts may no longer need to rely on the generalized high crime area terminology when more particularized and more relevant information is available" [108].

Summary

Ferguson synthesises four themes to which encapsulate reasonable suspicion analysis:

Predictive information is not enough on its own. Instead, it is "considered relevant to the totality of circumstances, but must be corroborated by direct police observation"[109].
The prediction must also "be particularized to a person, a profile, or a place, in a way that directly connects the suspected crime to the suspected person, profile, or place"[110].
It must also be detailed enough to distinguish a person or place from others not the focus of the prediction [111].
Finally, predicted information becomes less valuable over time. Hence it must be acted on quickly or be lost [112].

Conclusions from America

The main conclusion to draw from the analysis of the parallels between existing predictions in IV amendment law and predictive policing is that "predictive policing will impact the reasonable suspicion calculus by becoming a factor within the totality of circumstances test"[113]. Naturally, it reaffirms the imperative for predictive techniques to collect reliable data [114] and analyse it transparently[115]. Moreover, in order for courts to evaluate the reliability of the data and the processes used (since predictive methods become part of the reasonable suspicion calculus), courts need to be able to analyse the predictive process. This has implications for the how hearings may be conducted, for how legal adjudicators may require training and many more. Another important concern is that the model of predictive information and police corroboration or direct observation[116] may mean that in areas which were predicted to have low risk of crime, the reasonable suspicion doctrine works against law enforcement. There may be less effort paid to patrolling these other areas as a result of predictions.

Implications for India

While there have been no cases directly involving predictive policing methods, it would be prudent to examine the parts of Indian law which would inform the calculus on the lawfulness of using predictive policing methods. A useful lens to examine this might be found in the observation that prediction is not in itself a novel concept in justice, and is already used by courts and law enforcement in numerous circumstances.

Criminal Procedure in Non-Warrant Contexts

The most logical way to begin analysing the legal implications of predictive policing in India may probably involve identifying parallels between American and Indian criminal procedure, specifically searching for instances where 'reasonable suspicion' or some analogous requirement exists for justifying police searches.

In non-warrant scenarios, we find conditions for officers to conduct such a warrantless search in Section 165 of the Criminal Procedure Code (Cr PC). For clarity purposes I have stated section 165 (1) in full:

"Whenever an officer in charge of a police station or a police officer making an investigation has reasonable grounds for believing that anything necessary for the purposes of an investigation into any offence which he is authorised to investigate may be found in any place with the limits of the police station of which he is in charge, or to which he is attached, and that such thing cannot in his opinion be otherwise obtained without undue delay, such officer may, after recording in writing the grounds of his belief and specifying in such writing, so far as possible, the thing for which search is to be made, search, or cause search to be made, for such thing in any place within the limits of such station." [117]

However, India differs from the USA in that its Cr PC allows for police to arrest individuals without a warrant as well. As observed in Gulab Chand Upadhyaya vs State Of U.P, "Section 41 Cr PC gives the power to the police to arrest without warrant in cognizable offences, in cases enumerated in that Section. One such case is of receipt of a 'reasonable complaint' or 'credible information' or 'reasonable suspicion'" [118] Like above, I have stated section 41 (1) and subsection (a) in full:

"41. When police may arrest without warrant.

(1) Any police officer may without an order from a Magistrate and without a warrant, arrest any person-

(a) who has been concerned in any cognizable offence, or against whom a reasonable complaint has been made, or credible information has been received, or a reasonable suspicion exists, of his having been so concerned"[119]

In analysing the above sections of Indian criminal procedure from a predictive policing angle, one may find both similarities and differences between the proposed American approach and possible Indian approaches to interpreting or incorporating predictive policing evidence.

Similarity of 'reasonable suspicion' requirement

For one, the requirement for "reasonable grounds" or "reasonable suspicion" seems to be analogous to the American doctrine of reasonable suspicion. This suggests that the concepts used in forming reasonable suspicion, for the police to "be able to point to specific and articulable facts which, taken together with rational inferences from those facts, reasonably warrant that intrusion"[120] may also be useful in the Indian context.

One case which sheds light on an Indian interpretation of reasonable suspicion or grounds is State of Punjab v. Balbir Singh[121]. In that case, the court observes a requirement for "reason to believe that such an offence under Chapter IV has been committed and, therefore, an arrest or search was necessary as contemplated under these provisions"[122] in the context of Section 41 and 42 in The Narcotic Drugs and Psychotropic Substances Act, 1985[123]. In examining the requirement of having "reason to believe", the court draws on Partap Singh (Dr) v. Director of Enforcement, Foreign Exchange Regulation Act[124], where the judge observed that "the expression 'reason to believe' is not synonymous with subjective satisfaction of the officer. The belief must be held in good faith; it cannot be merely a pretence….."[125]

In light of this, the judge in Balbir Singh remarked that "whether there was such reason to believe and whether the officer empowered acted in a bona fide manner, depends upon the facts and circumstances of the case and will have a bearing in appreciation of the evidence" [126]. The standard considered by the court in Balbir Singh and Partap Singh is different from the 'reasonable suspicion' or 'reasonable grounds' standard as per Section 41 and 165 of Cr PC. But I think the discussion can help to inform our analysis of the idea of reasonableness in law enforcement actions. Of importance was the court requirement of something more than mere "pretence" as well as a belief held in good faith. This could suggest that in fact the reasoning in American jurisprudence about reasonable suspicion might be at least somewhat similar to how Indian courts view reasonable suspicion or grounds in the context of predictive policing, and therefore how we could similarly conjecture that predictive evidence could form part of the reasonable suspicion calculus in India as well.

Difference in judicial treatment of illegally obtained evidence - Indian lack of exclusionary rules

However, the apparent similarity of how police in America and India may act in non-warrant situations - guided by the idea of reasonable suspicion - is only veneered by linguistic parallels. Despite the existence of such conditions which govern the searches without a warrant, I believe that Indian courts currently may provide far less protection against unlawful use of predictive technologies. The main premise behind this argument is that Indian courts refuse to exclude evidence that was obtained in breaches of the conditions of sections of the Cr PC. What exists in place of evidentiary safeguards is a line of cases in which courts routinely admit unlawfully or illegally obtained evidence. Without protections against unlawfully gathered evidence being considered relevant by courts, any regulations on search or conditions to be met before a search is lawful become ineffective. Evidence may simply enter the courtroom through a backdoor.

In the USA, this is by and large, not the case. Although there are exceptions to these rules, exclusionary rules are set out to prevent admission of evidence which violates the constitution[127]. "The exclusionary rule applies to evidence gained from an unreasonable search or seizure in violation of the Fourth Amendment "[128]. Mapp v. Ohio [129] set the precedent for excluding unconstitutionally gathered evidence, where the court ruled that "all evidence obtained by searches and seizures in violation of the Federal Constitution is inadmissible in a criminal trial in a state court" [130].

Any such evidence which then leads law enforcement to collect new information may also be excluded, as part of the "fruit of the poisonous tree" doctrine[131], established in Silverthorne Lumber Co. v. United States [132]. The doctrine is a metaphor which suggests that if the source of certain evidence is tainted, so is 'fruit' or derivatives from that unconstitutional evidence. One such application was in Beck v. Ohio[133], where the courts overturned a petitioner's conviction because the evidence used to convict him was obtained via an unlawful arrest.

However in India's context, there is very little protection against the admission and use of unlawfully gathered evidence. In fact, there are a line of cases which lay out the extent of consideration given to unlawfully gathered evidence - both cases that specifically deal with the rules as per the Indian Cr PC as well as cases from other contexts - which follow and develop this line of reasoning of allowing illegally obtained evidence.

One case to pay attention to is State of Maharastra v. Natwarlal Damodardas Soni - in this case, the Anti-Corruption Bureau searched the house of the accused after receiving certain information as a tip. The police "had powers under the Code of Criminal Procedure to search and seize this gold if they had reason to believe that a cognizable offence had been committed in respect thereof"[134]. Justice Sarkaria, in delivering his judgement, observed that for argument's sake, even if the search was illegal, "then also, it will not affect the validity of the seizure and further investigation"[135]. The judge drew reasoning from Radhakishan v. State of U.P[136]. This which was a case involving a postman who had certain postal items that were undelivered recovered from his house. As the judge in Radhakishan noted:

"So far as the alleged illegality of the search is concerned, it is sufficient to say that even assuming that the search was illegal the seizure of the articles is not vitiated. It may be that where the provisions of Sections 103 and 165 of the Code of Criminal Procedure, are contravened the search could be resisted by the person whose premises are sought to be searched. It may also be that because of the illegality of the search the court may be inclined to examine carefully the evidence regarding the seizure. But beyond these two consequences no further consequence ensues." [137]

Shyam Lal Sharma v. State of M.P.[138] was also drawn upon, where it was held that "even if the search is illegal being in contravention with the requirements of Section 165 of the Criminal Procedure Code, 1898, that provision ceases to have any application to the subsequent steps in the investigation"[139].

Even in Gulab Chand Upadhyay, mentioned above, the presiding judge contended that even "if arrest is made, it does not require any, much less strong, reasons to be recorded or reported by the police. Thus so long as the information or suspicion of cognizable offence is "reasonable" or "credible", the police officer is not accountable for the discretion of arresting or no arresting"[140].

A more complete articulation of the receptiveness of Indian courts to admit illegally gathered evidence can be seen in the aforementioned Balbir Singh. The judgement aimed to:

"dispose of one of the contentions that failure to comply with the provisions of Cr PC in respect of search and seizure even up to that stage would also vitiate the trial. This aspect has been considered in a number of cases and it has been held that the violation of the provisions particularly that of Sections 100, 102, 103 or 165 Cr PC strictly per se does not vitiate the prosecution case. If there is such violation, what the courts have to see is whether any prejudice was caused to the accused and in appreciating the evidence and other relevant factors, the courts should bear in mind that there was such a violation and from that point of view evaluate the evidence on record."[141]

The judges then consulted a series of authorities on the failure to comply with provisions of the Cr PC:

State of Punjab v. Wassan Singh[142]: "irregularity in a search cannot vitiate the seizure of the articles"[143].
Sunder Singh v. State of U.P[144]: 'irregularity cannot vitiate the trial unless the accused has been prejudiced by the defect and it is also held that if reliable local witnesses are not available the search would not be vitiated."[145]
Matajog Dobey v.H.C. Bhari[146]: "when the salutory provisions have not been complied with, it may, however, affect the weight of the evidence in support of the search or may furnish a reason for disbelieving the evidence produced by the prosecution unless the prosecution properly explains such circumstance which made it impossible for it to comply with these provisions."[147]
R v. Sang[148]: "reiterated the same principle that if evidence was admissible it matters not how it was obtained."[149] Lord Diplock, one of the Lords adjudicating the case, observed that "however much the judge may dislike the way in which a particular piece of evidence was obtained before proceedings were commenced, if it is admissible evidence probative of the accused's guilt "it is no part of his judicial function to exclude it for this reason". [150] As the judge in Balbir Singh quoted from Lord Diplock, a judge "has no discretion to refuse to admit relevant admissible evidence on the ground that it was obtained by improper or unfair means. The court is not concerned with how it was obtained."[151]

The vast body of case law presented above provides observers with a clear image of the courts willingness to admit and consider illegally obtained evidence. The lack of safeguards against admission of unlawful evidence are important from the standpoint of preventing the excessive or unlawful use of predictive policing methods. The affronts to justice and privacy, as well as the risks of profiling, seem to become magnified when law enforcement use predictive methods more than just to augment their policing techniques but to replace some of them. The efficacy and expediency offered by using predictive policing needs to be balanced against the competing interest of ensuring rule of law and due process. In the Indian context, it seems courts sparsely consider this competing interest.

Naturally, weighing in on which approach is better depends on a multitude of criteria like context, practicality, societal norms and many more. It also draws on existing debates in administrative law about the role of courts, which may emphasise protecting individuals and preventing excessive state power (red light theory) or emphasise efficiency in the governing process with courts assisting the state to achieve policy objectives (green light theory) [152].

A practical response may be that India should aim to embrace both elements and balance them appropriately, although what an appropriate balance again may vary. There are some who claim that this balance already exists in India. Evidence for such a claim may come from R.M. Malkani v. State of Maharashtra[153], where the court considered whether an illegally tape-recorded conversation could be admissible. In its reasoning, the court drew from Kuruma, Son of Kanju v. R. [154], noting that

" if evidence was admissible it matters not how it was obtained. There is of course always a word of caution. It is that the Judge has a discretion to disallow evidence in a criminal case if the strict rules of admissibility would operate unfairly against the accused. That caution is the golden rule in criminal jurisprudence"[155].

While this discretion exists at least principally in India, in practice the cases presented above show that judges rarely exercise that discretion to prevent or bar the admission of illegally obtained evidence or evidence that was obtained in a manner that infringed the provisions governing search or arrest in the Cr PC. Indeed, the concern is that perhaps the necessary safeguards required to keep law enforcement practices, including predictive policing techniques, in check would be better served by a greater focus on reconsidering the legality of unlawfully gathered evidence. If not, evidence which should otherwise be inadmissible may find its way into consideration by existing legal backdoors.

Risk of discriminatory predictive analysis

Regarding the risk of discriminatory profiling, Article 15 of India's Constitution[156] states that "the State shall not discriminate against any citizen on grounds only of religion, race, caste, sex, place of birth or any of them" [157]. The existence of constitutional protection for such forms of discrimination suggests that India will be able to guard against discriminatory predictive policing. However, as mentioned before, predictive analytics often discriminates institutionally, "whereby unconscious implicit biases and inertia within society's institutions account for a large part of the disparate effects observed, rather than intentional choices"[158]. As in most jurisdictions, preventing these forms of discrimination are much harder. Especially in a jurisdiction whose courts are already receptive to allowing admission of illegally obtained evidence, the risk of discriminatory data mining or prejudiced algorithms being used by police becomes magnified. Because the discrimination may be unintentional, it may be even harder for evidence from discriminatory predictive methods to be scrutinised or when applicable, dismissed by the courts.

Conclusion for India

One thing which is eminently clear from the analysis of possible interpretations of predictive evidence is that Indian Courts have had no experience with any predictive policing cases, because the technology itself is still at a nascent stage. There is in fact a long way to go before predictive policing will become used on a scale similar to that of USA for example.

But, even in places where predictive policing is used much more prominently, there is no precedent to observe how courts may view predictive policing. Ferguson's method of locating analogous situations to predictive policing which courts have already considered is one notable approach, but even this does not provide complete answer. One of his main conclusions that predictive policing will affect the reasonable suspicion calculus, or in India's case, contribute to 'reasonable grounds' in some ways, is perhaps the most valid one.

However, what provides more cause for concern in India's context are the limited protections against use of unlawfully gathered evidence. The lack of 'exclusionary rules' unlike those present in the US amplifies the various risks of predictive policing because individuals have little means of redress in such situations where predictive policing may be used unjustly against them.

Yet, the promise of predictive policing remains undeniably attractive for India. The successes predictive policing methods seem to have had In the US and UK coupled with the more efficient allocation of law enforcement's resources as a consequence of adapting predictive policing evidence this point. The government recognises this and seems to be laying the foundation and basic digital infrastructure required to utilize predictive policing optimally. One ought also to ask whether it is the even within the court's purview to decide what kind of policing methods are to be permissible through evaluating the nature of evidence. There is a case to be made for the legislative arm of the state to provide direction on how predictive policing is to be used in India. Perhaps the law must also evolve with the changes in technology, especially if courts are to scrutinise the predictive policing methods themselves.

[1] Joh, Elizabeth E. "Policing by Numbers: Big Data and the Fourth Amendment." SSRN Scholarly Paper. Rochester, NY: Social Science Research Network, February 1, 2014. http://papers.ssrn.com/abstract=2403028.

[2] Tene, Omer, and Jules Polonetsky. "Big Data for All: Privacy and User Control in the Age of Analytics." Northwestern Journal of Technology and Intellectual Property 11, no. 5 (April 17, 2013): 239.

[3] Datta, Rajbir Singh. "Predictive Analytics: The Use and Constitutionality of Technology in Combating Homegrown Terrorist Threats." SSRN Scholarly Paper. Rochester, NY: Social Science Research Network, May 1, 2013. http://papers.ssrn.com/abstract=2320160.

[4] Johnson, Jeffrey Alan. "Ethics of Data Mining and Predictive Analytics in Higher Education." SSRN Scholarly Paper. Rochester, NY: Social Science Research Network, May 8, 2013. http://papers.ssrn.com/abstract=2156058.

[5] Ibid.

[6] Duhigg, Charles. "How Companies Learn Your Secrets." The New York Times, February 16, 2012. http://www.nytimes.com/2012/02/19/magazine/shopping-habits.html.

[7] Ibid.

[8] Lijaya, A, M Pranav, P B Sarath Babu, and V R Nithin. "Predicting Movie Success Based on IMDB Data." International Journal of Data Mining Techniques and Applications 3 (June 2014): 365-68.

[9] Johnson, Jeffrey Alan. "Ethics of Data Mining and Predictive Analytics in Higher Education." SSRN Scholarly Paper. Rochester, NY: Social Science Research Network, May 8, 2013. http://papers.ssrn.com/abstract=2156058.

[10] Sangvinatsos, Antonios A. "Explanatory and Predictive Analysis of Corporate Bond Indices Returns." SSRN Scholarly Paper. Rochester, NY: Social Science Research Network, June 1, 2005. http://papers.ssrn.com/abstract=891641.

[11] Barocas, Solon, and Andrew D. Selbst. "Big Data's Disparate Impact." SSRN Scholarly Paper. Rochester, NY: Social Science Research Network, February 13, 2015. http://papers.ssrn.com/abstract=2477899.

[12] Joh, supra note 1.

[13] US Environmental Protection Agency. "How We Use Data in the Mid-Atlantic Region." US EPA. Accessed November 6, 2015. http://archive.epa.gov/reg3esd1/data/web/html/.

[14] See here for details of blackroom.

[15] Joh, supra note 1, at pg 48.

[16] Perry, Walter L., Brian McInnis, Carter C. Price, Susan Smith and John S. Hollywood. Predictive Policing: The Role of Crime Forecasting in Law Enforcement Operations. Santa Monica, CA: RAND Corporation, 2013. http://www.rand.org/pubs/research_reports/RR233. Also available in print form.

[17] Ibid, at pg 2.

[18] Chan, Sewell. "Why Did Crime Fall in New York City?" City Room. Accessed November 6, 2015. http://cityroom.blogs.nytimes.com/2007/08/13/why-did-crime-fall-in-new-york-city/.

[19] Bureau of Justice Assistance. "COMPSTAT: ITS ORIGINS, EVOLUTION, AND FUTURE IN LAW ENFORCEMENT AGENCIES," 2013. http://www.policeforum.org/assets/docs/Free_Online_Documents/Compstat/compstat%20-%20its%20origins%20evolution%20and%20future%20in%20law%20enforcement%20agencies%202013.pdf.

[20] 1996 internal NYPD article "Managing for Results: Building a Police Organization that Dramatically Reduces Crime, Disorder, and Fear."

[21] Bratton, William. "Crime by the Numbers." The New York Times, February 17, 2010. http://www.nytimes.com/2010/02/17/opinion/17bratton.html.

[22] RAND CORP, supra note 16.

[23] RAND CORP, supra note 16, at pg 19.

[24] Joh, supra note 1, at pg 44.

[25] RAND CORP, supra note 16, pg 38.

[26] Ibid.

[27] RAND CORP, supra note 16, at pg 39.

[28] Ibid.

[29] RAND CORP, supra note 16, at pg 41.

[30] Data-Smart City Solutions. "Dr. George Mohler: Mathematician and Crime Fighter." Data-Smart City Solutions, May 8, 2013. http://datasmart.ash.harvard.edu/news/article/dr.-george-mohler-mathematician-and-crime-fighter-166.

[31] RAND CORP, supra note 16, at pg 44.

[32] Joh, supra note 1, at pg 45.

[33] Ouellette, Danielle. "Dispatch - A Hot Spots Experiment: Sacramento Police Department," June 2012. http://cops.usdoj.gov/html/dispatch/06-2012/hot-spots-and-sacramento-pd.asp.

[34] Pitney Bowes Business Insight. "The Safer Derbyshire Partnership." Derbyshire, 2013. http://www.mapinfo.com/wp-content/uploads/2013/05/safer-derbyshire-casestudy.pdf.

[35] Ibid.

[36] Daniel B Neill, Wilpen L. Gorr. "Detecting and Preventing Emerging Epidemics of Crime," 2007.

[37] RAND CORP, supra note 16, at pg 33.

[38] Joh, supra note 1, at pg 46.

[39] Paul, Jeffery S, and Thomas M. Joiner. "Integration of Centralized Intelligence with Geographic Information Systems: A Countywide Initiative." Geography and Public Safety 3, no. 1 (October 2011): 5-7.

[40] Mohler, supra note 30.

[41] Ibid.

[42] Moses, B., Lyria, & Chan, J. (2014). Using Big Data for Legal and Law Enforcement
Decisions: Testing the New Tools (SSRN Scholarly Paper No. ID 2513564). Rochester, NY: Social Science Research Network. Retrieved from http://papers.ssrn.com/abstract=2513564

[43] Gorner, Jeremy. "Chicago Police Use Heat List as Strategy to Prevent Violence." Chicago Tribune. August 21, 2013. http://articles.chicagotribune.com/2013-08-21/news/ct-met-heat-list-20130821_1_chicago-police-commander-andrew-papachristos-heat-list.

[44] Stroud, Matt. "The Minority Report: Chicago's New Police Computer Predicts Crimes, but Is It Racist?" The Verge. Accessed November 13, 2015. http://www.theverge.com/2014/2/19/5419854/the-minority-report-this-computer-predicts-crime-but-is-it-racist.

[45] Moser, Whet. "The Small Social Networks at the Heart of Chicago Violence." Chicago Magazine, December 9, 2013. http://www.chicagomag.com/city-life/December-2013/The-Small-Social-Networks-at-the-Heart-of-Chicago-Violence/.

[46] Lester, Aaron. "Police Clicking into Crimes Using New Software." Boston Globe, March 18, 2013. https://www.bostonglobe.com/business/2013/03/17/police-intelligence-one-click-away/DzzDbrwdiNkjNMA1159ybM/story.html.

[47] Stanley, Jay. "Chicago Police 'Heat List' Renews Old Fears About Government Flagging and Tagging." American Civil Liberties Union, February 25, 2014. https://www.aclu.org/blog/chicago-police-heat-list-renews-old-fears-about-government-flagging-and-tagging.

[48] Rieke, Aaron, David Robinson, and Harlan Yu. "Civil Rights, Big Data, and Our Algorithmic Future," September 2014. https://bigdata.fairness.io/wp-content/uploads/2015/04/2015-04-20-Civil-Rights-Big-Data-and-Our-Algorithmic-Future-v1.2.pdf.

[49] Edmond, Deepu Sebastian. "Jhakhand's Digital Leap." Indian Express, September 15, 2013. http://www.jhpolice.gov.in/news/jhakhands-digital-leap-indian-express-15092013-18219-1379316969.

[50] Jharkhand Police. "Jharkhand Police IT Vision 2020 - Effective Shared Open E-Governance." 2012. http://jhpolice.gov.in/vision2020. See slide 2

[51] Edmond, supra note 49.

[52] Edmond, supra note 49.

[53] Kumar, Raj. "Enter, the Future of Policing - Cops to Team up with IIM Analysts to Predict & Prevent Incidents." The Telegraph. August 28, 2012. http://www.telegraphindia.com/1120828/jsp/jharkhand/story_15905662.jsp#.VkXwxvnhDWK.

[54] Ibid.

[55] Ibid.

[56] Ibid.

[57] See supra note 49.

[58] See here for Jharkhand Police crime dashboard.

[59] Lavanya Gupta, and Selva Priya. "Predicting Crime Rates for Predictive Policing." Gandhian Young Technological Innovation Award, December 29, 2014. http://gyti.techpedia.in/project-detail/predicting-crime-rates-for-predictive-policing/3545.

[60] Gupta, Lavanya. "Minority Report: Minority Report." Accessed November 13, 2015. http://cmuws2014.blogspot.in/2015/01/minority-report.html.

[61] See supra note 59.

[62] See here for details about 44th All India Police Science Congress.

[63] India, Press Trust of. "Police Science Congress in Gujarat to Have DRDO Exhibition." Business Standard India, March 10, 2015. http://www.business-standard.com/article/pti-stories/police-science-congress-in-gujarat-to-have-drdo-exhibition-115031001310_1.html.

[64] National Crime Records Bureau. "About Crime and Criminal Tracking Network & Systems - CCTNS." Accessed November 13, 2015. http://ncrb.gov.in/cctns.htm.

[65] Ibid. (See index page)

[66] U.S. Const. amend. IV, available here

[67] United States v Katz, 389 U.S. 347 (1967) , see here

[68] See supra note 1, at pg 60.

[69] See supra note 1, at pg 60.

[70] Villasenor, John. "What You Need to Know about the Third-Party Doctrine." The Atlantic, December 30, 2013. http://www.theatlantic.com/technology/archive/2013/12/what-you-need-to-know-about-the-third-party-doctrine/282721/.

[71] Smith v Maryland, 442 U.S. 735 (1979), see here

[72] United States v Jones, 565 U.S. ___ (2012), see here

[73] Newell, Bryce Clayton. "Local Law Enforcement Jumps on the Big Data Bandwagon: Automated License Plate Recognition Systems, Information Privacy, and Access to Government Information." SSRN Scholarly Paper. Rochester, NY: Social Science Research Network, October 16, 2013. http://papers.ssrn.com/abstract=2341182, at pg 24.

[74] See supra note 72.

[75] Dahyabhai Chhaganbhai Thakker vs State Of Gujarat, 1964 AIR 1563

[76] See supra note 16.

[77] See supra note 66.

[78] Brinegar v. United States, 338 U.S. 160 (1949), see here

[79] Terry v. Ohio, 392 U.S. 1 (1968), see here

[80] Ferguson, Andrew Guthrie. "Big Data and Predictive Reasonable Suspicion." SSRN Scholarly Paper. Rochester, NY: Social Science Research Network, April 4, 2014. http://papers.ssrn.com/abstract=2394683, at pg 287. See also supra note 79.

[81] See supra note 80.

[82] See supra note 80.

[83] See supra note 80.

[84] See supra note 80, at pg 289.

[85] Illinois v. Gates, 462 U.S. 213 (1983). See here

[86] See Alabama v. White, 496 U.S. 325 (1990). See here

[87] See supra note 80, at pg 291.

[88] See supra note 80, at pg 293.

[89] See supra note 80, at pg 308.

[90] Ibid.

[91] Ibid.

[92] Larissa Cespedes-Yaffar, Shayona Dhanak, and Amy Stephenson. "U.S. v. Mendenhall, U.S. v. Sokolow, and the Drug Courier Profile Evidence Controversy." Accessed July 6, 2015. http://courses2.cit.cornell.edu/sociallaw/student_projects/drugcourier.html.

[93] Ibid.

[94] United States v. Sokolow, 490 U.S. 1 (1989), see here

[95] See supra note 80, at pg 295.

[96] See supra note 80, at pg 297.

[97] See supra note 80, at pg 308.

[98] See supra note 80, at pg 310.

[99] See supra note 11.

[100] See supra note 11.

^{^[101]} See supra note 80, at pg 303.

[102] See supra note 80, at pg 300.

[103] Illinois v. Wardlow, 528 U.S. 119 (2000), see here

[104] Ibid.

[105] See supra note 80, at pg 301.

[106] Ibid.

[107] See supra note 1, at pg 42.

[108] See supra note 80, at pg 303.

[109] See supra note 80, at pg 303.

[110] Ibid.

[111] Ibid.

[112] Ibid.

[113] See supra note 80, at pg 312.

[114] See supra note 80, at pg 317.

[115] See supra note 80, at pg 319.

[116] See supra note 80, at pg 321.

[117] Section 165 Indian Criminal Procedure Code, see here

[118] Gulab Chand Upadhyaya vs State Of U.P, 2002 CriLJ 2907

[119] Section 41 Indian Criminal Procedure Code

[120] See supra note 79

[121] State of Punjab v. Balbir Singh. (1994) 3 SCC 299

[122] Ibid.

[123] Section 41 and 42 in The Narcotic Drugs and Psychotropic Substances Act 1985, see here

[124] Partap Singh (Dr) v. Director of Enforcement, Foreign Exchange Regulation Act. (1985) 3 SCC 72 : 1985 SCC (Cri) 312 : 1985 SCC (Tax) 352 : AIR 1985 SC 989

[125] Ibid, at SCC pg 77-78.

[126] See supra note 121, at pg 313.

[127] Carlson, Mr David. "Exclusionary Rule." LII / Legal Information Institute, June 10, 2009. https://www.law.cornell.edu/wex/exclusionary_rule.

[128] Ibid.

[129] Mapp v Ohio, 367 U.S. 643 (1961), see here

[130] Ibid.

[131] Busby, John C. "Fruit of the Poisonous Tree." LII / Legal Information Institute, September 21, 2009. https://www.law.cornell.edu/wex/fruit_of_the_poisonous_tree.

[132] Silverthorne Lumber Co., Inc. v. United States, 251 U.S. 385 (1920), see here.

[133] Beck v. Ohio, 379 U.S. 89 (1964), see here.

[134] State of Maharashtra v. Natwarlal Damodardas Soni, (1980) 4 SCC 669, at 673.

[135] Ibid.

[136] Radhakishan v. State of U.P. [AIR 1963 SC 822 : 1963 Supp 1 SCR 408, 411, 412 : (1963) 1 Cri LJ 809]

[137] Ibid, at SCR pg 411-12.

[138] Shyam Lal Sharma v. State of M.P. (1972) 1 SCC 764 : 1974 SCC (Cri) 470 : AIR 1972 SC 886

[139] See supra note 135, at page 674.

[140] See supra note 119, at para. 10.

[141] See supra note 121, at pg 309.

[142] State of Punjab v. Wassan Singh, (1981) 2 SCC 1 : 1981 SCC (Cri) 292

[143] See supra note 121, at pg 309.

[144] Sunder Singh v. State of U.P, AIR 1956 SC 411 : 1956 Cri LJ 801

[145] See supra note 121, at pg 309.

[146] Matajog Dobey v.H.C. Bhari, AIR 1956 SC 44 : (1955) 2 SCR 925 : 1956 Cri LJ 140

[147] See supra note 121, at pg 309.

[148] R v. Sang, (1979) 2 All ER 1222, 1230-31

[149] See supra note 121, at pg 309.

[150] Ibid.

[151] Ibid.

[152] Harlow, Carol, and Richard Rawlings. Law and Administration. 3rd ed. Law in Context. Cambridge University Press, 2009.

[153] R.M. Malkani v. State of Maharashtra, (1973) 1 SCC 471

[154] Kuruma, Son of Kanju v. R., (1955) AC 197

[155] See supra note 154, at 477.

[156] Indian Const. Art 15, see here

[157] Ibid.

[158] See supra note 11.

For more details visit https://cis-india.org/internet-governance/blog/predictive-policing-what-is-it-how-it-works-and-it-legal-implications

Pratap Vikram Singh - Why Aadhaar is Baseless?

praskrishna — 2016-04-02T05:31:30Z

This article by Pratap Vikram Singh, Governance Now, discusses the problems emerging out of the UIDAI project due to its lack of mechanisms for informed and granular consent, and for seeking recourse in the case of denial of service. The article quotes Sumandro Chattapadhyay and mentions Hans Varghese Mathew's work on the biometric basis of UIDAI. It was written before the Aadhaar bill was passed in Lok Sabha.

Cross-posted from Governance Now.

It was no less than a roller-coaster ride for Aadhaar, a programme formulated by the UPA government to assign a 12-digit unique number to every Indian resident. From the time it came into being in 2009, Aadhaar drew a volley of criticism, thanks to the misgivings and apprehensions that various critics and civil society organisations had. It was criticised for lack of a clear purpose, degree of effectiveness and absence of a privacy law and was virtually thrown into the bin by a parliamentary panel headed by BJP’s Yashwant Sinha in December 2011.

When the finance minister Arun Jaitley, in his budget speech, announced that the government would introduce the Aadhaar bill during the budget session, expectations were already set high. The bill, giving statutory backing to the unique identification authority of India (UIDAI), the implementing authority, was passed by the Lok Sabha on March 11. While the privacy and voluntary versus mandatory provisions are under the consideration of the supreme court, the bill makes way for linking Aadhaar with all government subsidies, benefits and services. The law on Aadhaar, former UIIDAI chairman Nandan Nilekani wrote in the Indian Express, will help the government in going paperless, presence-less and cashless. The legislation, however, fails to deliver on several counts.

However, prior to evaluating the bill (yet to be passed by the Rajya Sabha at the time of this writing though it is a money bill), let us take a look at its major aspects. For those, who always wondered whether Aadhaar is mandatory or voluntary, the bill 2016 makes it mandatory to avail subsidy, benefit or a service from the government.

The bill has provisions related to information security and confidentiality (section 28) which not only extend to employees of the UIDAI but also consultants and external agencies working with the authority.

The proposed law restricts information sharing. It bars UIDAI from sharing core biometric information – the bill defines it as fingerprints and iris scan – with “anyone for any reason whatsoever” or “used for any purpose other than generation of Aadhaar numbers and authentication under this Act”. The section 32 of the bill entitles Aadhaar number holders to access her or his authentication record. It also bars the authority from collecting, keeping or maintaining information about the purpose of authentication.

Odd Drives the Bill

While the intent is clear and is aimed at streamlining welfare schemes to ensure it reaches the bottom of the pyramid, cutting through the long chain of pilferage and subversion, the bill, however, has several shortcomings. To begin with, the government should not have taken the money bill route to pass the legislation – tactfully avoiding any conclusive discussion and debate in the Rajya Sabha, where it is in minority.

The bill assumes that the technology and the biometric system used by the UIDAI are flawless and it doesn’t provide any recourse in case of denial of a service. “If your fingerprint is not matching and you lose out on service, then what is the alternative mechanism you have,” asks Sumandro Chattapadhyay, research director, centre for internet and society (CIS). The bill doesn’t provide for recourse. “What if the scanning machine fails? What if the identifiers of two people match?”

Based on experiments conducted in the initial days of the Aadhaar programme, Hans Verghese Mathews, another CIS researcher, did a study on the probability of matching of identifiers of two persons. “For the current population of 1.2 billion the expected proportion of duplicands (users whose identifiers match) is 1/121, a ratio which is far too high,” Mathews wrote in the Economic and Political Weekly in February.

“It is like putting the technology in a black box – which can’t be reviewed,” says Chattapadhyay. The bill doesn’t talk about setting up an independent body to review the logs and keep an eye on wrong and duplicate matches.

Who Defines National Security?

According to public policy experts, it is an attempt to seek “minimal legitimacy” from parliament and further adds to the unbridled power of the executive.

Although the bill restricts information sharing in section 29, sections 33 and 48 provide exemption in cases of national security and public emergency, respectively. The legislation, nevertheless, doesn’t elaborate on what constitutes national security and public emergency, leaving it to the executives. The section 33 reads: “Nothing contained in… shall apply in respect of any disclosure of information, including identity information or authentication records, made in the interest of national security….”

Similarly, section 48 states that if, at any time, the central government is of the opinion that a public emergency exists, “the central government may, by notification, supersede the Authority for such period, not exceeding six months, as may be specified in the notification and appoint a person or persons as the president may direct to exercise powers and discharge functions under this Act”.

Says Jayati Ghosh, professor, centre for economic studies and planning, Jawaharlal Nehru University, “National security is a very opaque term. Who decides what national security is? Today, the whole JNU is being projected as a threat to national security.” Swagato Sarkar, associate professor and executive director, Jindal school of government and public policy, OP Jindal Global University, says, “The bill has provisions for oversight on the use of Aadhaar, but then it suspends those provisions in case of emergency in the later sections, giving the state the power to use biometric information for whatever it deems fit.”

Sarkar adds, “It seems the bill is simply an instrument for seeking minimum legitimacy from parliament. The bill tries to address the concern of privacy minimally and it hardly serves any purpose.” He believes that there is a need to define the broader contours of democratic control of the state and reassess the changing state-citizen relationship, instead of rejecting the whole idea on the basis of surveillance and privacy. In other words, there is a need for strong parliamentary oversight, and that the Aadhaar related matters shouldn’t be completely delegated to the executive.

In its recommendations on formulating Privacy Act, the justice AP Shah committee in 2012 provided for establishing the office of privacy commissioner at the regional and central levels, defining the role of self-regulating organisations and co-regulation, and creating a system of complaints and redressal for aggrieved individuals. Since the country still doesn’t have any legislation on privacy, people are left on their own in case of an infringement or violation of privacy. Moreover, section 47 states, “No court shall take cognizance of any offence punishable under this Act, save on a complaint made by the Authority or any officer or person authorised by it.”

In its report, the parliamentary committee headed by Yashwant Sinha notes that “enactment of national data protection law… is a prerequisite for any law that deals with large scale collection of information from individuals and its linkages across separate databases”. The committee notes that in absence of data protection legislation, it would be difficult to deal with issues of access, misuse of personal information, surveillance, profiling, linking and matching of databases and securing confidentiality of information.

Subsidy-Aadhaar Linkage

The Sinha committee also takes a cautious view of the role of Aadhaar in curbing leakages in subsidy distribution, as beneficiary identification is done by states. It notes, “Even if the Aadhaar number links entitlements to targeted beneficiaries, it may not even ensure that beneficiaries have been correctly identified. Thus, the present problem of proper identification would persist.”

According to Ghosh, the biggest danger in using Aadhaar for social welfare programmes is that the fingerprints of the rural working class is not always in good shape and hence Aadhaar will not be the best way of identification. “If I am misidentified, I can go to so many places for recourse. But what if a labourer in a remote Jharkhand village is misidentified? Where and whether he would go?” the economist asks. Besides, the bill doesn’t limit the use of Aadhaar and defines areas where it can be used. Section 57 says that the law will not prevent the use of Aadhaar number for establishing the identity of an individual for any purpose, “whether by the state or anybody corporate or person, pursuant to any law, for the time being in force or any contract to this effect.”

According to a PRS Legislative review, since the bill also allows private persons to use Aadhaar as a proof of identity for any purpose, the provision will open a floodgate and enable private entities such as airlines, telecom, insurance and real estate companies to mandate Aadhaar as a proof of identity for availing their services.

Since the bill doesn’t restrict its application, people will not have a choice to identify themselves other than using Aadhaar when corporate organisations make it mandatory, says Chattapadhyay of the CIS. Adds Sarkar, “The bill should clearly mention sectors or services where Aadhaar will be potentially used (or made mandatory). Every time a new sector or service is added to the list, it is done after parliamentary approval.”

So far, 98 crore people have been assigned Aadhaar number. So far the project has costed Rs 8,000 crore.

For more details visit https://cis-india.org/internet-governance/news/gov-now-pratap-vikram-singh-17032016-why-aadhaar-is-baseless

Pranesh Prakash on the US snooping into Indian cyber space

praskrishna — 2013-07-02T16:19:11Z

Pranesh Prakash, Policy Director, Center for Internet and Society, talks about the ramifications of US incursion into the privacy of Indians through cyber space. He says that Indian laws on privacy and free speech shall be applied to the web companies in India so that they actually not surrender the privacy of Indian citizens just because American law requires them to.

The interview conducted by Tehelka can be seen here

Video

For more details visit https://cis-india.org/news/tehelka-june-15-2013-pranesh-prakash-on-us-snooping-into-indian-cyber-space

Pranesh Prakash elected as Asia-Pacific Representative to the Executive Committee of NonCommercial Users Constituency

praskrishna — 2014-01-06T02:50:52Z

Pranesh Prakash has been elected as the Asia-Pacific representative to the executive committee of the NonCommercial Users Constituency (NCUC) (part of the Non-Commercial Stakeholders Group, which is in turn part of the Generic Names Supporting Organization, which is in turn part of ICANN).

More information about the NCUC including how to join can be found at http://www.ncuc.org/

Background & Mission Statement:
The purpose of the NonCommercial Users Constituency (NCUC) is to represent, through its elected representatives and its interest groups, the interests and concerns of non-commercial registrants and non-commercial Internet users of generic Top-level Domains (gTLDs).

It provides a voice and representation in ICANN processes to: non-profit organizations that serve non-commercial interests; nonprofit services such as education, philanthropies, consumer protection, community organizing, promotion of the arts, public interest policy advocacy, children's welfare, religion, scientific research, and human rights; public interest software concerns; families or individuals who register domain names for noncommercial personal use; and Internet users who are primarily concerned with the noncommercial, public interest aspects of domain name policy.

Chair
William Drake, U. Zurich, Switzerland

Executive Committee (Europe)
Stefania Milan, Tilburg University, the Netherlands

Executive Committee (Africa)
Grace Githaiga, Kenya ICT Action Network

Executive Committee (Asia and the Pacific)
Pranesh Prakash, Centre for Internet and Society, India

Executive Committee (North America)
Roy Balleste, St. Thomas University, USA

Executive Committee (Latin America)
Carlos Affonso Pereira de Souza, Rio de Janeiro Institute for Technology of Society

The election results were as under:

Total Ballots Cast (including duplicates): 146
Ballots Counted (excluding duplicates): 124
Voters Who Haven't Voted: 84

Chair
1: 155 votes: William Drake
2: 22 votes: Abstain

Executive Committee (Europe)
3: 152 votes: Stefania Milan
4: 21 votes: Abstain

Executive Committee (Africa)
5: 37 votes: Hago Dafalla
6: 106 votes: Grace Githaiga
7: 34 votes: Abstain

Executive Committee (Asia and the Pacific)
8: 43 votes: Peter Green (aka Zuan Zhang)
9: 17 votes: Imran Ahmed Shah
10: 38 votes: Walid Al-Saqaf
11: 62 votes: Pranesh Prakash
12: 33 votes: Abstain

Executive Committee (North America)
13: 145 votes: Roy Balleste
14: 32 votes: Abstain

Executive Committee (Latin America)
15:149 votes: Carlos Affonso Pereira de Souza
16: 24 votes: Abstain

For more details visit https://cis-india.org/news/icann-december-24-2013-pranesh-prakash-elected-as-asia-pacific-representative-to-executive-committee-of-nuc

Pranesh Prakash as Resource Person for ITD seminar on Competition

Admin — 2019-07-04T16:23:51Z

Pranesh Prakash represented the Centre for Internet & Society (CIS) as a resource person for a training seminar held by the International Institute for Trade and Development, which is an organization with a UN mandate and funding by the Thai government. The event was held from 24 - 26 June 2019 at Bangkok.

The theme was "Competition Law and Policy for Sustainable Development". The audience was made up of government officials (mostly from competition commissions or from commerce ministries) from Thailand, Bhutan, India, Myanmar, Pakistan, Papua New Guinea, Vietnam. Click here to view the programme schedule. Pranesh Prakash was also a speaker in the session on Consumer Protection and Digital Rights- Defining Welfare and Fair Competition.

For more details visit https://cis-india.org/internet-governance/news/pranesh-prakash-as-resource-person-for-itd-seminar-on-competition

PPOs save placement-record as Christ Law’s 2nd graduating batch hosts fewer law firms

praskrishna — 2012-06-18T08:33:02Z

The number of recruiting law firms visiting Christ College of Law Bangalore slumped to two this year, but the second batch graduating from the college made it up in terms of pre placement offers (PPOs) to secure 21 total jobs, one short of the college’s debut recruitment record.

This blog post by Prachi Shrivastava was published in Legally India on June 10, 2012

Out of the 14 organisations hiring from a pool of 49 students registered with the recruitment coordination committee of 2012, J Sagar Associates (JSA) and Nishith Desai Associates (NDA) were the only law firms interviewing on campus. JSA hired one and NDA hired two students.

[Correction: The information supplied by the RCC previously, was partially incorrect. It has now clarified that JSA and NDA did not visit campus, but conducted off-campus interviews]

PXV Law Partners, BMR Advisors and Link Legal Advocates, each extending one PPO, and Murli Associates with two PPOs, were the only other law firms figuring in the RCC’s recruitment table this year.

Legal process outsourcing unit (LPO) Pangea3 was the biggest recruiter at the law school, hiring three students through campus and one through PPO. Clutch Group was the other LPO that visited campus and engaged two students.

Insurance companies also paid a visit: Prudent Insurance Brokers hired two students while Bajaj Allianz General Insurance Corporation made one hire.

Three non government organisations (NGOs) and a think tank each recruited the remaining four students. International human rights NGO Justice and Care, and domestic free school-teaching movement Teach for India picked one student each on campus, and wildlife-law enforcement NGO Freeland Wildlife Trust hired one student through PPO.

Bangalore-based think tank Centre for Internet and Society (CIS) engaged a student.

Four more RCC participants in the batch of 77, will pursue an LLM. The University of Singapore accepted two students, while Cornell University and George Washington University accepted one each.

Three students are known to have opted for court practice while one gears up to take the civil services examination.

Previously, at Christ

The first ever class graduating from the Bangalore law school last year, smaller in size by two students, saw 22 jobs for a pool of 52 students registered with the inaugural recruitment coordination committee.

Trilegal and Lakshmikumaran & Sridharan (LKS) were the biggest of the five law firms visiting campus last year, while GMR, Infosys and Roamware were the three local companies interviewing students on campus.

An LPO was the keenest recruiter at Christ last time as well, though CPA Global took the place of Pangea 3 which did not figure in last year’s recruitment table.

HNLU Raipur was the other law school where LPO Pangea3 was the heaviest recruiter this year, being the only one to visit the Abhanpur campus. The LPO hired three student’s from HNLU’s class of 2012.

For more details visit https://cis-india.org/news/ppos-save-placement-record-as-christ-laws-2nd-graduating-batch-hosts-fewer-law-firms

Power to youth

praskrishna — 2012-11-06T06:10:57Z

The inclusion of young politicians in the recent reshuffle saw the average age of the Union Cabinet come down. But this is just the tip of the iceberg. Across sectors, a new order is emerging as the next generation takes over the reigns. It has been one of our biggest paradoxes - a country which has one of the youngest populations in the world has not been harnessing the energy, verve and change-making abilities of its young.

The article published in the Hindustan Times on November 3, 2012 names Sunil Abraham and Lawrence Liang as some of the young people who are shaping the future...

The Cabinet reshuffle saw the elevation of younger politicians to the higher echelons of power, but these new appointments symbolise the coming of age of an entire generation. Across other sectors too - business, entertainment, activism, publishing - the young are slowly but surely assuming power and extending their influence.

These people are in positions to change the way we live, think, work and play. The future is here. Here's a look at some of those who are shaping it...

1) Sachin Pilot, 35, corporate affairs minister
He is the youngest minister in UPA-II and a two-term MP. He recently became an officer in the Territorial Army. In the cabinet reshuffle, he was elevated to minister of state with independent charge of corporate affairs. He promised to look into corporate irregularities and wants corporate affairs to be an enabling ministry that reduces red tape.

2) Jyotiraditya Scindia, 41, power minister
He is a three-time MP. He has done much for his state, Madhya Pradesh, including computerising state post offices, strengthening BSNL services, setting up industries, and constructing roads. He recently took over the power ministry (independent charge) and said that rural electrification and fuel generation are his priorities.

3) Arvind Kejriwal, 44, activist-turned-politician
An IIT-Kharagpur graduate, he worked for the revenue service before becoming an activist. He joined the RTI movement. In 2006, set up his own NGO and was awarded the Ramon Magsaysay award for his contribution to RTI. In 2011, he successfully planned Anna Hazare's Lokpal movement. He recently launched his own political party.

4) Siddharth Roy Kapur, 38, MD, UTV Studios
One of the most powerful people in Indian entertainment, he was responsible for many hit films under the UTV banner including Jodhaa Akbar, Fashion, Dev D, Kaminey, Raajneeti, Udaan, Peepli [Live], Delhi Belly and in 2012, Paan Singh Tomar and India's entry to the Oscars, Barfi. He has also been instrumental in the strategic tie-up with Disney.

5) Manish Tewari, 47, Union I&B minister
Tewari is a first-time MP. He joined the Youth Congress in 1981 and became its president in 1998. After 2008, he became a popular choice to publicly articulate the party's views. In the reshuffle, he was given the information & broadcasting ministry with independent charge. He has set cable digitisation and the problem of paid news high on his agenda.

6) Cyrus Mistry, 43, deputy chairman, Tata Sons
Mistry will be 44 in December when he takes over Ratan Tata's mantle at Bombay House. He joined Shapoorji Pallonji & Co as director in 1991. He is considered more of an 'insider' in the Tata Group. A graduate of Imperial College, UK and London Business School, he has stayed away from the limelight for much of his career, not unlike Tata.

7) JBS Sangha, 44, agricultural entrepreneur
From a mere seven acres, his business has grown to 5500 acres, producing 55,000 tonnes of potatoes annually. A poster boy of Indian agriculture and a student of plant breeding, he took his father's business to a new heights using cutting-edge biotechnology. He uses newer cold storage techniques and opted for eco-friendly pest control.

8) Deepinder Goyal, 29, founder-CEO, Zomato.com
An IIT Delhi graduate, Goyal launched Foodiebay.com in 2008 as an online database of restaurant menus from the NCR. The site, now famous as Zomato.com, is India's largest online restaurant guide covering over 40,000 restaurants in 12 cities. The site even has smartphone applications for Apple, Windows, Android and Blackberry.

9) Anurag Kashyap, 40, film director
One of the most revered new-age directors of Indian cinema, Kashyap has transformed the way Bollywood movies are perceived. He has been instrumental in merging genres of realistic art-house cinema and mainstream commercial song-drama films. With powerful films such as Black Friday, Dev D, Gulaal and Gangs of Wasseypur, Kashyap is now recognised as a bankable film maker.

10) Ajay Dubey, 37, RTI and environmental activist
A Chhatisgarh resident, Dubey took the case of tiger conservation to its logical conclusion - a ban on tiger tourism in core areas. After his management degree, he took up activism and set up his own NGO, Prayatna, which started its first campaign for a ban on polythene. Of late, he has taken to legal advocacy fighting diverse cases such as environmental laws in mining, police reforms and other issues.

11) Shantanu Prakash, 47, founder, Educomp
He founded Educomp Solutions Ltd in 1994 after graduating from IIM-A. He began by setting up computer labs in schools on borrowed money. Educomp is a first-of-its-kind teacher-led educational content-based solution designed to improve learning. Featured in the Forbes 'Best Under a Billion' list, Prakash runs 27 offices worldwide working with over 26,000 schools and 15 million students.

12) Sachin Bansal, 31, CEO and co-founder of Flipkart
In 2007, Sachin and Binny Bansal (29) - pooled together Rs. 4 lakh to start an online bookstore, Flipkart.com. The venture was a high risk. But the Bansals (not related), IIT Delhi graduates, realised that quality of service was key - a lesson they learnt as engineers at Amazon.com. Four years down the line, Flipkart has roped in millions of dollars in investment becoming a successful e-retail store.

13) Hibi Eden, 29, green activist-MLA
Eden is the youngest of Kerala's green brigade of six young legislators who cried foul when the Planning Commission's Montek Singh Ahluwalia said Kerala should utilise its paddy fields for non-agricultural purposes. They started healthy debates on the environment, deforestation and criminalisation of politics. Their persistent campaign has forced the establishment to dump many environmentally hazardous programmes.

14) Akhilesh Yadav, 39, UP chief minister
He is the youngest ever CM of UP and the son of Samajwadi Party chief, Mulayam Singh Yadav. He has been widely credited with the party's thumping victory in the state assembly elections this year increasing their seats from 97 in 2007 to 224. He has attempted to move away from the image of 'goonda raj' (thug rule) which critics thought characterised Samajwadi's earlier regime.

15) Jeh Wadia, 37, managing director, GoAir
Wadia inherited an empire from his parents, Nusli and Maureen, and became one of the youngest chiefs in the aviation sector when he started GoAir, a low-cost airline, in 2005. He is currently the managing director of the 132-year-old textiles and retail business, Bombay Dyeing. He also sits on the boards of Brittania and Bombay Burmah. In 2008, the World Economic Forum elected him as a Young Global Leader.

16) Rakesh Senger, 38, child rights activist
Senger has saved a generation of children from exploitation - child labour, trafficking, organ trade and begging. A decade and a half into his calling, he helps the police raid places involved in child labour, disguises himself as a beggar to crack the children beggar mafia, and lobbies for children-friendly policies. His vision, with his organisation Bachpan Bachao Andolan, is to see every child in school.

17) VK Karthika, 44, chief editor-publisher, Harper Collins India
Karthika began her career as an editorial assistant at Penguin India after dropping out of JNU 15 years ago. She steered Harper Collins to its current position as a leading English-language publisher in India. Under her lead, Harper Collins has published successful writers like Rana Dasgupta (Solo), Manu Joseph (Serious Men) and Hussain Naqvi (Homeboy) and has nurtured a great deal of fresh writing talent.

18) Anurag Thakur, 38, MP and president, Bharatiya Janata Yuva Morcha
As a cricket administrator, he has put Himachal Pradesh on the world 'cricket map' by aiding the construction of a cricket stadium in Dharamsala, which has hosted three editions of the IPL. He is also promoting other games actively. "I see India as young nation with a billion dreams, ready to lead and inspire the world," he says.

19) Sunil Abraham, 39, executive director, Centre for Internet and Society
He started CIS in 2008 to deal with digital pluralism, public accountability and pedagogic practices. In 1998, he founded Mahiti, an IT and communication solutions firm. He was elected an Ashoka fellow to explore the internet's democratic potential. His activism focuses on limitations of the intellectual property rights regime, emerging alternatives and piracy.

20) Raj Thackeray, 44, founder, Maharashtra Navnirman Sena
He started his political career with his uncle and Shiv Sena-head Bal Thackeray, but left in 2006 to form the MNS. His politics is defined by protests against migrants, particularly from UP and Bihar. Thackeray and his party have been criticised for using violence and he faces several charges for incitement. His popularity rose after he won substantial votes in the recently held municipal elections.

21) Riyaaz Amlani, 37, CEO & MD, Impresario Entertainment & Hospitality
He runs more than 27 establishments including the likes of Salt Water Cafe, Mocha and Smoke House Grill across eight cities. An entertainment management graduate from UCLA, Amlani returned to develop Mumbai's first go-karting track. He worked with Pritish Nandy Communications before starting Impresario Entertainment & Hospitality, the company that owns the Mocha Cafè chain.

22) Lawrence Liang, 37, co-founder, Alternative Law Forum
Liang emerged as a voice against politics of "intellectual property". He is an Indian-Chinese legal researcher based in Bangalore and is known for his legal campaigns on public issues. Started in 2000, his forum provides legal support to people without access to legal services. It also conducts research on globalisation, urban studies, gender and intellectual property.

23) Francisco D'Souza, 43, CEO, Cognizant
D'Souza helped found the Nasdaq-100 company in 1994 and took over as CEO in 2007. During his tenure as Cognizant's CEO, revenues have grown from $1.4 billion to over $6 billion and the company has emerged as one of India's fastest growing tech companies. A son of an Indian diplomat, Francisco has lived in nine different countries and obtained his MBA degree from Carnegie-Mellon University.

24) Rohini Iyer, 32, MD, Raindrop Media
Her company is one of India's largest publicity firms. Most Bollywood A-listers are her clients and she is the publicist for three leading ladies - Katrina Kaif, Kareena Kapoor and Vidya Balan. Her other clients include Ranbir Kapoor, Abhishek Bachchan and John Abraham. Iyer has been featured in the Verve Power List, as well as Femina's list of 25 most powerful women in India, from the field of entertainment.

25) Milind Deora, 35, MoS telecom & IT
One of the youngest members of Lok Sabha, Deora was given additional charge of shipping in the recent Cabinet reshuffle. He says, "I think young people alone can't solve India's problems. There should be a good mix of experienced and young minds to bring about reforms and improve administration." He says he will work for making India a hub for ship maintenance and is also going to push for reforms in the telecom sector.

26) Lakshmi Venu, 29, executive-director, Sundaram Clayton
The daughter of TVS chairman Venu Srinivasan, Lakshmi is a topper from the Sishya School, Chennai, a Yale graduate and a PhD from the University of Warwick. She started as a management trainee in Sundaram Auto Components, a subsidiary of Sundaram Clayton, in 2003. She won her current position the hard way. She also had a stint with TVS Motor, another sub-division of the company.

27) SK Mahto, 38, deputy CM, Jharkhand
Head of the All Jharkhand Students Union Party, an ally in the BJP-led ruling coalition, he has been a minister in each government since Jharkhand's creation in 2000. His biggest achievements have been smooth conduct of the panchayat polls held in the state in 2009 after a gap of 29 long years and the 34th National Games held there last year. He is the undisputed leader of his party, which has six members in the state assembly.

28) Dhruv Ghanekar, 38, co-founder, Blue Frog
A composer by profession, he has co-created 3000 projects for ad films and alternative movies. His 2009 solo album Distance was a huge success. He has performed with famous musicians like Karl Peters, Louis Banks, Adrian D'Souza, Ustaad Zakir Hussain, AR Rahman, Etienne M'Bappe and Louis Banks. He now awaits the release of Broken Thread, an international film for which he has recorded music.

29) Chiki Sarkar, 35, Publisher, Penguin India
An Oxford graduate, Sarkar worked at Bloomsbury Publishing in London for seven years. In 2006, she became Editor-in-Chief of Random House India. Her picks that became award-winners include Shehan Karunatilaka's Chinaman, Mohammed Hanif's A Case of Exploding Mangoes and Aman Sethi's A Free Man. Last year, she took over as head of Penguin Books, India's largest English-language publishing house.

30) Glenn Saldanha, 41, CMD, Glenmark Pharmaceuticals
Saldanha joined the company after his father's demise in 1998 and became MD and CEO in 2001. Within a few years, he has transformed the company from just a local generics business to a research and innovation driven organisation. He has personally strategised the company's emergence as a leader in the discovery of new molecules.

31) Anirban Das Blah, 34, MD, CAA KWAN
KWAN is one of India's largest celebrity management firms. Under Blah's leadership, it tied up with Creative Artists Agency, the world's largest entertainment and sports agency. He specialises in motion films, television, music, commercial endorsements, sports consulting, licensing and merchandising. He represents many rising stars including Frieda Pinto, Dev Patel and other Indian celebrities.

Compiled by: Aurangzeb Naqshbandi, B Vijay Murty, Gaurav Choudhury, KV Lakshmana, Manjula Narayan, Nagendar Sharma, Naveen Ammembala, Neha Sharma, Neyaz Farooquee, Panna Saroopa, Rahul Noronha, Rajeev Bhaskar, Ranjan Srivastava, Samar Khurshid and Swati Chitnis.

This list is not in order of any ranking. The people chosen for this list are below 50 in age (except entertainment, where the cut-off age has been kept at 40 years).

For more details visit https://cis-india.org/news/hindustan-times-india-news-new-delhi-nov-3-2012-power-to-youth

Power to the People

nishant — 2012-03-21T09:35:54Z

The digital revolution has helped make NGOs and civil society more influential, independent and transparent, writes Nishant Shah in this article published in the Indian Express on Sunday, May 15, 2011.

The rise and spread of internet and digital technologies has invigorated the voluntary sector in the country, granting them better mobility, access to resources and wider visibility through digital networks. With the rise of the internet, augmented by easy access, civil society needs to claim its stake in the World Wide Web. Visibility and presence have become the buzzwords. There is a concentrated effort to become a Simple, Moral, Accountable, Responsible and Transparent (SMART) organisation that doesn’t operate in remote silos but reaches out to an audience and a resource base.

While NGOs in the more developed countries have taken to digital technologies more easily, there is no doubt that the digital revolution has finally come to the civil society in India and it is offering unprecedented opportunities for social change and political participation. From the Bell Bajao campaign, which brought to the fore domestic violence in the urban middle class, to the recent demonstrations for Anna Hazare, we see many examples of the ways in which civil society and NGOs can still mobilise support from the public.

What has also been interesting is how collectives rather than registered organisations have played an important role in the public delivery of such campaigns.

Here is a look at three ways in which engagement with digital technologies, has led to new models of making public interventions and processes of initiating change for civil society collectives and NGOs.

Birds of a Feather

With the networked effect of the digital technologies, something as simple as building a Facebook page puts out the concerns and draws the attention and resources of a larger population. NGOs need no longer confine themselves to finding people in immediate environments and are extending their support base to large online networks. The Bangalore-based Blank Noise Project that started off as a public art intervention by Jasmeen Patheja has now emerged as a large volunteer-based network that harnesses the power of peer-to-peer networks to mobilise young urban dwellers, to talk about gender, safety and urban space. Not yet a formal NGO, it uses blogs, Twitter, Facebook, mailing lists etc. in order to bring people together for public interventions as well as digital dissemination. With more than 4,000 volunteers running the project in different cities, BNP proves the power of the Web to find “people like us” for a common cause.

Beyond Patronage

With the kind of outreach and visibility afforded by the internet, NGOs are turning to public support and individual contributions to carry out their work. Take Kickstarter, for example — a site where any NGO wanting to launch a creative project, can put up a project description and a budget. They can then invite people from around the world to “pledge” money by swiping credit cards, beginning with a contribution of $5. If, within a given time-span, enough people pledge enough money to cover the project’s budget, the organisation receives the money through electronic transfers. They become, thus, accountable not to individual donors or private development agencies. Instead, they become transparent and responsible towards the larger public who, as stakeholders and supporters can now endorse, amplify and track the activities of the organisation.

Transparency Unlimited

With the rise of information technologies, citizens have started asking for more details about organisations that seek to represent them in different sectors. It has become necessary for NGOs to become accountable at two levels — one is at the level of financial integrity and the second is at the level of public responsibility. The consortium Credibility Alliance is one example by which the voluntary sector can disclose certain minimum information to its public in order to build transparent governance structures. NGOs have also become more sensitive to the politics of representation and how to involve communities they work with, in their processes rather than becoming self-appointed vanguards. The field of collaboration has opened up and we see the rise of networks rather than individual players in the field.

Digital and internet technologies amplify, augment and enhance the existing processes. In the voluntary sector, like almost any other walk of life, many of these practices already exist. What these systems of the digital age have done is provide new ways by which the everyday citizen can participate and contribute to the processes of change.

Read the original published by the Indian Express here

For more details visit https://cis-india.org/internet-governance/blog/power-to-people

Power over privacy: New Personal Data Protection Bill fails to really protect the citizen’s right to privacy

Nikhil Pahwa — 2019-12-15T05:57:31Z

Nikhil Pahwa throws light on the new personal data protection bill.

The article by Nikhil Pahwa was published in the Times of India on December 12, 2019. CIS report was mentioned.

Earlier this year, in April, a data breach in the Election Commission of Philippines led to the leakage of personal information of over 55 million eligible voters on a searchable website: including names, addresses and date of birth. This was not the first data breach from the Election Commission. After the first, which took place in March 2016, where 340 GB of voter data was published online by a group of hackers called LulzSec Pilipinas, the National Privacy Commission of Philippines found that the Election Commission had violated the Data Privacy Act of 2012, and recommended criminal prosecution of its chairman, finding him liable when the agency failed to dispense its duty as a “personal information controller”.

It’s 2019, and that recommendation has still not been acted upon, because the National Privacy Commission of Philippines only has recommendatory powers for criminal prosecution. Meanwhile, data breaches continue at the Election Commission of Philippines.

Between 2017 and 2018, Aadhaar related personally identifiable data of several Indian citizens, including names, addresses, bank account numbers, in some cases pregnancy information and even religion and caste information of individuals, was published online by Indian government departments. The Centre for Internet and Society, in a report, estimated that personally identifiable data for 130-135 million Indian citizens had been leaked, thus putting them at risk. 210 government websites had made Aadhaar related data public, UIDAI confirmed in response to an RTI in 2017.

No one was held liable. There was no data protection law, no data protection authority, no criminal prosecution was recommended. Around that time, the Indian government was instead arguing in the Supreme Court that privacy isn’t a fundamental right under the Indian Constitution.

What we can learn from these two instances is that for the enforcement of a citizen’s right to privacy, and ensuring that no one takes the protection of data lightly, there needs to be a strong privacy law that holds even the government responsible, and above all, a strong data protection authority that is independent and has powers to penalise even government officials. On some of these counts, the Personal Data Protection Bill, 2019, disappoints.

First, members of the Data Protection Authority will no longer be appointed by independent entities from diverse backgrounds: where they were previously going to be appointed by a committee comprising the Chief Justice of India or a Supreme Court judge, the Cabinet secretary, and an independent expert, the power to appoint members to DPA now rests solely with government officials, including the appointment of adjudicating officers. In addition, the central government, in the interest of “national security, sovereignty, international relations and public order, can issue directions to DPA, which DPA will be bound by. Powers of DPA have also been reduced: while in the previous version of the bill, DPA had the sole power to categorise data as sensitive personal data, in the current version, the power rests with the central government, albeit in consultation with DPA. The central government will also notify any social media company as a significant data fiduciary, and not DPA. Only the central government can determine what critical personal data is, and not DPA.

This dependence on the government for appointments, functions and definitions, will invariably impact the independence of DPA, and even though the 2019 version of the bill gives it the authority to fine the state a maximum of Rs 5-15 crore, depending on the offence, i’d be surprised if this ever happens.

The bill does create significant exceptions for the state to acquire and process data, and an opportunity to create a base for surveillance reform in the country has been lost. The previous version of the bill had brought some sense of safety against mass surveillance, when it included the condition that processing of data by the government must be “necessary and proportionate”, drawing from Supreme Court’s historic right to privacy judgment. This is particularly important given that the bill also gives power to the government to exempt any agency from the provisions of the bill for processing of personal data, which includes acquiring data from any public or private entity.

Effectively, this means that government agencies may be exempt from any scrutiny by DPA, and can even collect data from third parties (for example, fin-tech companies, health-tech startups) without the user even knowing. Forget recommending criminal prosecution for mass surveillance, India’s DPA won’t even be able to fine a government agency for such a violation of the fundamental right to privacy. The government also has vast exceptions for data processing: “for the performance of any function of the state authorised by law”.

This aside, one of the more curious clauses in the bill is around non-personal data. The government, a few months ago, constituted a committee led by Infosys co-founder Kris Gopalakrishnan to look into the governance of non-personal data. Non-personal data, as the term suggests, is any data that is not related to an individual. In the bill, the government has given itself the right to acquire this data, which is essentially a company’s intellectual property, to “promote framing of policies for digital economy”. Why non-personal data finds a mention in a Personal Data Protection Bill is beyond comprehension, and this move will not inspire much confidence in businesses operating in India, when the state claims eminent domain over intellectual property.

It’s unfortunate minister Ravi Shankar Prasad is sending the bill to a select committee, given the fact that such significant changes to the bill should have led to another public consultation.

For more details visit https://cis-india.org/internet-governance/news/the-times-of-india-december-12-2019-power-over-privacy

POV: Should user-generated content be monitored?

praskrishna — 2012-01-19T12:46:26Z

After being in the dock for carrying 'objectionable' content, Google and Facebook, along with15 other websites, are fighting for what they call internet freedom. Wikipedia went dark to protest the Web Piracy Bill being introduced in the US. afaqs! speaks to industry experts to find out if a move to monitor content can backfire.

Paritosh Joshi
CEO, STAR CJ Live

When asked to offer my two-bit on whether user-generated content can be monitored, my immediate response was laden with invective expressions. Any publication that caters to people of refined and/or delicate tastes would find it hard to publish. For what it is worth, here it is, with bits bleeped out: "Only a *bleep*er, would reasonably suggest monitoring user-generated content. Or else, her/his name is Wen JiaBao or Kim Jong Number Un or something".

How big is this UGC thing anyway? Take a relatively small example. Twitter crossed 200 million tweets a day in June, 2011. At even 5 per cent compounded monthly growth rate, that should have ballooned to 280 million a day now. And, we haven't even begun talking about Facebook. Unless, of course, you choose to do a PR China and simply firewall it right out of reach.

Guess what! It isn't going to work because everyone will start figuring our proxy servers. Or perhaps you, or someone called Sybil or Sillable or Sibaling Rivalry (whatever) decided to say, to hell with Article 19 of the Indian Constitution. In which case, there is, quite literally, nothing left to say.

My 13-year-old figured out how to beat Net Nanny when she was 10. And someone thinks he can have a Net Supernanny to cover everyone? That ship has sailed. Deal with it.

Bharat Kapadia,
Founder, ideas@bharatkapadia.com

Gone are the days when a piece of news could be vetted and an editor could control what was being published. In these modern times, content generation has become real-time, making it practically impossible to monitor it. With the scope of the internet being so large and new ways to publish content coming up rapidly, it becomes physically and technically impossible to keep a check.

This is a classic case of shoot the messenger who brings bad news. Just because a website brings up objectionable content on a search does not make it punishable. What is right and wrong is a matter of judgment, and is totally subjective.

On a lighter note, to know why Wikipedia was blacked out for a day, one will have to probably refer to Wikipedia itself!

Sunil Abraham

Executive director, Centre for Internet and Society

User-generated content is already heavily monitored. Be it Facebook or Wikipedia, these sites are heavily monitored by persons and machines. Bots monitoring pornography via image processing, intellectual property via watermarking and pattern recognition, and ban-lists via semantic analysis are already used to ensure that content is compliant with the law of the land, and with the usually even more restrictive site or community "terms of use".

The World Wide Web has, for most parts, gone extinct. Under the Information Technology Act 2000, amended in 2008, take-down notices can be sent to remove illegal content. Our research indicates that even the largest national and international intermediaries happily over-comply with frivolous complaints and only bother about freedom of expression when it undermines their business models. Unfortunately, the IT Act and its associated rules have severely diluted free speech rights for Indians. Now, the government hopes to convince intermediaries to dilute their own terms of reference and step-up enforcement levels.

We should not fool ourselves into thinking that private sector companies like Google will defend our fundamental rights. The next Parliament session is the last opportunity for parliamentarians to ask for the revocation of the rules for intermediaries, cyber-cafes and reasonable security practices.

Alok Kejriwal

CEO, Games2win

I feel that user-generated content should not be monitored, but moderated. And, this responsibility lies with the users or consumers. The reason for this is simple - wisdom of the crowd is more powerful than the wisdom of one.

On the other hand, sites like Google and Facebook, which are in the dock for carrying objectionable content, are being plain arrogant. They have forgotten their purpose for being here. These companies must realise that just because we Indians have a great press and judicial system, they do not have the freedom to publish anything that is derogatory to our culture. In my view, they are behaving like spoilt American brats, who have no respect for another culture, mythology and values.

Anupam Mukerji

The fake IPL player

Co-founder, Pitch Invasion

There are few amongst us who wouldn't want to be amused by a speaking parrot which regales us with stuff it's trained to speak. But, what would you do if your speaking parrot refused to toe your line, spoke only the truth with scant regard to diplomacy and political correctness, spilling your beans to visitors every day?

For far too long, the political class has survived and thrived by keeping the media in covert and overt control, thereby directing public opinion where they wanted. Online social media has changed the rules of this game.

The medium isn't the criminal. Acting against a medium is worse than even shooting the messenger.

The new age citizen is a different animal from any of the past. More aware, more travelled, more opinionated and more demanding. This is a species you try to control at your own peril. But, if you try to embrace it in the right spirit, it will reciprocate in kind.

The constitution gives us the right to voice our opinions without fear. The same constitution also prohibits us from spreading lies, defaming people, inciting violence or acting in an anti-national manner.

India needs an environment of freedom and fearlessness because without this, we will be nothing but 'a China with poor infrastructure'.

Nisha Menon's blog post was originally published in afaqs! on 19 January 2012

For more details visit https://cis-india.org/news/pov-should-user-generated-content-be-monitored

Post-website attack, cops hot on pursuit of Anonymous hackers

praskrishna — 2012-08-06T09:51:11Z

The cyber crime wing has formed special teams to nab the hackers who attacked and stole data from the Tamil Nadu police website.

The article was published in the Times of India on July 11, 2012. Pranesh Prakash is quoted.

"We have submitted a formal complaint to trace the hacker," said additional director general of police (ADGP-State Crime Records Bureau) Ashish Bhengra after a high-level meeting on Tuesday led by director general of Police K Ramanujam. The meeting discussed the precautionary steps to prevent similar incidents.

The hacktivist collective Anonymous said on Tuesday that they hacked the TN police's website to protest internet censorship by the government of India. On July 8, the group released a set of files containing complaints made by public to the TN police and action taken by officials. "This is less about TN police and more about a continuing protest," said members of the group in an internet relay chat to TOI. The group said apart from certain Internet service providers, the government continued to censor the internet.

"If our protest is not respected for the very real and constitutional questions it raises, then we throw more and more areas open where wrongdoing may be found," said a member.

The group's India wing posted links to the leaked documents under its Twitter handle 'opindia_revenge' on Sunday night. The files show a range of complaints filed by the public -- from fleecing of passengers by autorickshaw drivers, property disputes, grouses from police personnel and instances of missing mobile phones and people. The complaints have been filed from across Tamil Nadu, including Chennai, Coimbatore, Madurai, and even places such as Uttarakhand and Kuwait.

The group has redacted phone numbers and email ids in some cases but has left other data like name and address. The documents also have details of action taken by the police -- from forwarding the case to the respective police station to digging up information on accused persons.

Anonymous India, which has done a series of virtual sit-ins on government and corporate websites, has only a few high-profile hacking operations in India. In May, it hacked the servers of Reliance Communications, preventing users from accessing social media websites. The group also released a list of websites that were allegedly blocked by Reliance. The group started attacking official websites to protest what it called 'censorship' of the internet that snowballed after a Madras High Court 'John Doe' order to prevent movie piracy. Anonymous also organised a protest march on June 9 at various Indian cities.

However, the latest attack inconveniences public and damages the cause, said users. "Anonymous consists of a large bunch of activists who gained some credibility in India after they organised offline protests. But this operation doesn't serve any purpose and brings down their credibility as details of those who filed complaints have been revealed," said Pranesh Prakash, lawyer and programme manager at The Centre for Internet and Society, a Bangalore-based research organisation.

According to a member of Anonymous, people are afraid of thinks that they are not aware of. "Some were angry at us for leaking data from Reliance. But if criticism is justified, we will make sure it doesn't happen again," said the member.

For more details visit https://cis-india.org/news/post-website-attack

Post and be Damned

praskrishna — 2012-11-19T03:40:46Z

Your careless comments online could put you in jail, thanks to Section 66A of the Information Technology Act. Kavitha Shanmugam examines a law that some critics say is vague and unconstitutional

Kavita Shanmugham's column was published in the Telegraph on November 14, 2012. Pranesh Prakash is quoted.

Two weeks ago, S. Ravi, owner of a small plastic packaging unit in Puducherry, was rudely woken up by the police at 5am, manhandled and arrested. Reason: Ravi had posted a couple of unflattering comments about Karti Chidambaram, son of finance minister P. Chidambaram, on Twitter. He had tweeted that Chidambaram Junior "had amassed more wealth than Robert Vadra".

Ravi was arrested under Section 66A of the Information Technology (IT) Act, 2008, and hauled up before a judicial magistrate who remanded him to nine days in custody. "It was then that I became really scared," says Ravi, who is out on bail.

A casual tweeter with just 16 followers, Ravi believes he did nothing wrong. “I was using a statement that was already there on the Internet. They could have sent me a lawyer’s notice or investigated the complaint before taking action,” argues Ravi, whose Twitter following has now jumped to 2,518.

"My tweet was retweeted by 20,000 people, who dared the authorities to arrest them too," he adds indignantly, terming Section 66A a “draconian law" with "wide scope for misuse".

Ravi is not alone in denouncing Section 66A of the IT Act. Indeed, there is now a huge outcry against the law, with a section of legal and cyber experts saying that it is nothing but a useful tool in the hands of the powers that be to curb freedom of speech and expression online.

At the same time, there are those who believe that online abuse or defamation cannot masquerade as freedom of speech and that the law is necessary to move against those who commit this offence.

Karti Chidambaram, for one, believes that Ravi’s tweet was motivated and defamatory. "The tweeter made one tweet in 78 days. It was about me. It clearly implied that I am corrupt. That is malicious. So I preferred a complaint to the police. The law exists. I didn’t frame the law," he says.

Section 66A of the IT Act lays down that a person can be punished with up to three years’ imprisonment if he or she sends offensive information or messages through a computer resource or communication device. The problem arises because it fails to clarify what can be termed "offensive". For example, information that is "grossly offensive" or has "menacing character” or information disseminated for the “purpose of causing annoyance and inconvenience" are all brought under the ambit of "offensive". This leaves the law wide open for various interpretations and abuse. "It’s too vaguely worded," insists M. Lenin, a lawyer advising volunteers of India Against Corruption in Chennai. “Any online statement can be declared 'offensive' and any tweet may be deemed ‘inconvenient’. The section has become a convenient tool for the police to harass people."

Section 66A of the IT Act lays down that a person can be punished with up to three years’ imprisonment if he or she sends offensive information or messages through a computer resource or communication device. The problem arises because it fails to clarify what can be termed "offensive". For example, information that is "grossly offensive" or has "menacing character” or information disseminated for the “purpose of causing annoyance and inconvenience" are all brought under the ambit of "offensive". This leaves the law wide open for various interpretations and abuse.

"It’s too vaguely worded," insists M. Lenin, a lawyer advising volunteers of India Against Corruption in Chennai. “Any online statement can be declared 'offensive' and any tweet may be deemed ‘inconvenient’. The section has become a convenient tool for the police to harass people."

Earlier this year, Section 66A was also invoked, among other laws, to arrest Jadavpur University professor Ambikesh Mahapatra for forwarding an email cartoon of West Bengal chief minister Mamata Banerjee.

Indeed, some experts go a step further and call Section 66A patently unconstitutional. Says Pranesh Prakash, policy director, Centre for Internet and Society, Bangalore, "It’s clearly in violation of Article 19(1)(a) of our Constitution that guarantees freedom of speech. The fact that some information is ‘grossly offensive’ (Section 66A) or that it causes ‘annoyance’ or ‘inconvenience’ while being known to be false (Section 66A(c)) cannot be a reason for curbing freedom of speech unless it is directly related to violating decency, morality or public order, or amounts to defamation."

However, apologists for Section 66A argue that the law has its merits too in that it can be used to move against genuine incidents of harassment or defamation online. Take the case of Chinmayee Sripada, a popular Chennai-based playback singer. Chinmayee, who has one lakh followers on Twitter, was targeted by a group of six men who sent her lewd and threatening tweets for a period of time. Apparently, they were upset with her remarks on reservation and for not joining them in a Twitter campaign against the killing of Tamil Nadu fishermen by the Sri Lankan navy.

Recently, Chinmayee complained to the police with “thousands of pages of ugliness and vulgarity” and the trolls, including a professor at the National Institute of Fashion Technology, Chennai, were identified and arrested under Section 66A.

The offending tweeters apologised to her and closed their accounts after the arrest. "I believe Section 66A belled the cat. The arrest made people realise that Twitter also demands self-regulation. In the name of freedom of speech there is zero control on platforms like Twitter. There should be some boundaries," says Chinmayee’s mother T. Padmahasini.

Ramachandra Murthy, Ravi’s lawyer, too believes that Section 66A is a "good tool" for genuine cases of harassment. "Unfortunately, it is being misused by influential people. Still, if you are innocent the case can never hold up in court," he reasons.

Others question the need for a separate law to deal with cases of online defamation or harassment when the Indian Penal Code already has provisions to tackle them. New Delhi-based lawyer Apar Gupta cites the examples of Section 500, 499 and 294 of the IPC which deal with defamation or committing obscene acts in public. "Section 66A only makes the burden on the accused harsher," he adds.

While some IT experts want Section 66A scrapped, others say that it should at least be amended. “Even if the section is not struck off the statute books, the provisions in it may be read down by the courts and safeguards may be prescribed in its application,” says Gupta.

Until that happens, mistaking social media platforms for online drawing rooms where you can indulge in all kinds of freewheeling chat could be fraught with danger.

Justice A.P. Shah, a former chief justice of the Delhi High Court, echoes that view. "Section 66A is very broad and loosely worded. The scope of such a law has to be restricted. Instead, it is vague and clearly violative of Article 19(1)(a) of the Constitution that guarantees freedom of speech and expression," he says.

For more details visit https://cis-india.org/news/telegraphindia-opinion-story-kavitha-shanmugham-nov-14-2012-post-and-be-damned

Portal augurs well for transparency

praskrishna — 2011-07-26T15:16:47Z

Data.gov.in will have meta-data, which will facilitate discovery of data and access from portals of ministries, says T Ramachandra. The article was published in the Hindu on 25 July 2011.

The unveiling of an official data access and sharing policy and the commissioning of a data portal (data.gov.in), which is on the anvil, will pave the way for digitally opening up the Central government data to the public.

"The data portal will be having meta-data [data about data], which will facilitate the discovery of the data and access from the portals of respective government departments/ministries. At present, the data policy is likely to cover the Central government and all activities funded by the Government of India," said R. Siva Kumar, CEO of National Spatial Data Infrastructure, and head of Natural Resources Data Management System, Department of Science and Technology.

Governmental data-holding organisations will prepare a negative list of non-shareable sensitive data, weighing the need to restrict public access given such considerations as security and privacy, against the obligation to share it with civil society and the scientific community. Apart from this, access to certain categories of data will be restricted.

The broad guidelines spelt out in the Right to Information Act will be followed and the list will be periodically reviewed. "All data outside the negative list will be proactively disseminated, and an oversight committee will facilitate policy implementation," said Dr. Kumar.

But does this mean that the public have to make specific requests for the unlocking of data-sets? “Data will be available through the data portal, and there will be no specific unlocking required. However, access to certain data may be through registration/authorisation,” he responded.

The sharing of such data might be tied to a pricing policy. "Pricing will be decided by the respective department/ministry. However, standardised parameters will be made available as guidelines for fixing the price," he said.

The draft of the proposed National Data Sharing and Accessibility Policy the government published some time ago indicates that the departments themselves can decide whether the data belongs to the ‘open access', ‘registered access,' or ‘restricted access' categories, with the policy neither mandating nor coming up with guidelines on how to do so, said Pranesh Prakash, programme manager, Centre for Internet and Society (CIS), a Bangalore-based NGO.

The CIS has recommended that the policy have the same scope as the RTI Act, and that all ‘public authorities,' as defined under the Act, be covered by it. Only the restricted categories (laid down in Sections 8 and 9 of the RTI Act) should be allowable for ‘restricted access.'

In a study on open government data in the Indian context, the CIS suggested that any policy be oriented towards meeting the requirements of a broad spectrum of citizenry. Specifically, sections that do not get to immediately benefit from advances in information technology. “Data mashing and private sector information products are important goals,” but the government itself should be proactive in creating the applications that show potential uses for the data.

The World Wide Web Consortium (W3C), the global body that sets web standards, has said governments, by putting their data on the Internet, facilitate greater transparency, deliver more efficient public services and encourage greater public and commercial use and re-use of government information.

Anil Bairwal, National Coordinator of the Association for Democratic Reforms, which is involved in disseminating election-related data through its website Electionwatch, says there is “huge public interest” in data, and that accessibility was of prime importance. For instance, election-related data was made available by the authorities in the PDF/image file formats. “This forces us to do a manual interpretation of every affidavit, which consumes a lot of time and energy. It would be helpful if this data was available in a portable open format via an online tool.”

Other countries have already made strides in furthering open data. Prominent examples are the U.K. government website, data.gov.uk, and the U.S. government's www.data.gov website, which is key to President Barack Obama's Open Government Initiative.

Read the original article published in the Hindu here

For more details visit https://cis-india.org/news/portal-augurs-well-for-transparency