Centre for Internet and Society

CISxScholars Delhi - Harsh Gupta - FAT ML for Lawyers and Lawmakers (June 29, 5:30 pm)

sumandro — 2017-06-27T09:16:48Z

We are proud to announce that Harsh Gupta will discuss "FAT ML (Fairness, Accountability, and Transparency in Machine Learning) for Lawyers and Lawmakers" at the CIS office in Delhi on Thursday, June 29, at 5:30 pm. This will be a two and half hour session: beginning with a 45 minute talk, followed by 15 minute break, another talk for 45 minutes, and then a discussion session. Please RSVP if you are joining us: .

CISxScholars are informal events organised by CIS for presentation, discussion, and exchange of academic research and policy analysis.

FAT ML (Fairness, Accountability, and Transparency in Machine Learning) for Lawyers and Lawmakers

From tagging people in photos to determining risk of loan defaults, use of data based tools is affecting more and areas of our lives. In some areas there have been very successful applications of such tools, in others areas they has been found to not only reflect the existing bias and discrimination found in today's society but also exaggerate it.

Harsh Gupta

Harsh Gupta is a recent graduate from IIT Kharagpur with B.Sc and M.Sc in Mathematics and Computing and will be joining JP Morgan and Chase as a data scientist. He completed his master's thesis in "Discrimination Aware Machine Learning". He was also an intern at The Center for Internet and Society during summer of 2016.

For more details visit https://cis-india.org/raw/cisxscholars-harsh-gupta-machine-learning-for-lawyers-and-lawmakers-20170629

Press Release, March 11, 2016: The Law cannot Fix what Technology has Broken!

Japreet Grewal and Sunil Abraham — 2016-03-16T10:10:40Z

We published and circulated the following press release on March 11, 2016, as the Lok Sabha passed the Aadhaar (Targeted Delivery of Financial and Other Subsidies, Benefits and Services) Bill, 2016. This Bill was proposed by finance minister, Mr. Arun Jaitley to give legislative backing to Aadhaar, being implemented by the Unique Identification Authority of India (UIDAI).

The Lok Sabha passed the Aadhaar (Targeted Delivery of Financial and Other Subsidies, Benefits and Services) Bill, 2016 today. This Bill was proposed by finance minister, Mr. Arun Jaitley to give legislative backing to Aadhaar, being implemented by the Unique Identification Authority of India (UIDAI).

The Bill was introduced as a money bill and there was no public consultation to evaluate the provisions therein even though there are very serious ramifications for the Right to Privacy and the Right to Association and Assembly. The Bill has made it compulsory for an individual to enrol under Aadhaar in order to receive any subsidy, benefit or service from the Government. Biometric information that is required for the purpose of enrolment has been deemed "sensitive personal information" and restrictions have been imposed on use, disclosure and sharing of such information for purposes other than authentication, disclosure made pursuant to a court order or in the interest of national security. Here, the Bill has acknowledged the standards of protection of sensitive personal information established under Section 43A of the Information Technology Act, 2000. The Bill has also laid down several penal provisions for acts that include impersonation at the time of enrolment, unauthorised access to the Central Identities Data Repository, unauthorised use by requesting entity, noncompliance with intimation requirements, etc.

Key Issues

1. Identification without Consent

Before the Aadhaar project it was not possible for the Indian government to identify citizens without their consent. But once the government has created a national centralized biometric database it will be possible for the government to identify any citizen without their consent. Hi-resolution photography and videography make it trivial for governments and also any other actor to harvest biometrics remotely. In other words, the technology makes consent irrelevant. A German ministers fingerprints were captured by hackers as she spoke using hand gesture at at conference. In a similar manner the government can now identify us both as individuals and also as groups without requiring our cooperation. This has direct implications for the right to privacy as we will be under constant government surveillance in the future as CCTV camera resolutions improve and there will be chilling effects on the right to free speech and the freedom of association. The only way to fix this is to change the technology configuration and architecture of the project. The law cannot be used as band-aid on really badly designed technology.

2. Fallible Technology

The technology used for collection and authentication as been said to be fallible. It is understood that the technology has been feasible for a population of 200 million. The Biometrics Standards Committee of UIDAI has acknowledged the lack of data on how a biometric authentication technology will scale up where the population is about 1.2 billion. Further, a report by 4G Identity Solutions estimates that while in any population, approximately 5% of the people have unreadable fingerprints, in India it could lead to a failure to enroll up to 15% of the population.

We know that the Aadhaar number has been issued to dogs, trees (with the Aadhaar letter containing the photo of a tree). There have been slip-ups in the Aadhaar card enrolment process, some cards have ended up with pictures of an empty chair, a tree or a dog instead of the actual applicants. An RTI application has revealed that the Unique Identification Authority of India (UIDAI) has identified more than 25,000 duplicate Aadhaar numbers in the country till August 2015.

At the stage of authentication, the accuracy of biometric identification depends on the chance of a false positiveâ€” the probability that the identifiers of two persons will match. For the current population of 1.2 billion the expected proportion of duplicates is 1/121, a ratio which is far too high. In a recent paper in EPW by Hans Mathews, a mathematician with CIS, shows that as per UIDAI's own statistics on failure rates, the programme would badly fail to uniquely identify individuals in India. [1]

Endnote

[1] See: http://cis-india.org/internet-governance/blog/epw-27-february-2016-hans-varghese-mathews-flaws-in-uidai-process

For more details visit https://cis-india.org/internet-governance/blog/press-release-aadhaar-11032016-the-law-cannot-fix-what-technology-has-broken

List of Recommendations on the Aadhaar Bill, 2016 - Letter Submitted to the Members of Parliament

Amber Sinha, Sumandro Chattapadhyay, Sunil Abraham, and Vanya Rakesh — 2016-03-21T08:50:09Z

On Friday, March 11, the Lok Sabha passed the Aadhaar (Targeted Delivery of Financial and Other Subsidies, Benefits and Services) Bill, 2016. The Bill was introduced as a money bill and there was no public consultation to evaluate the provisions therein even though there are very serious ramifications for the Right to Privacy and the Right to Association and Assembly. Based on these concerns, and numerous others, we submitted an initial list of recommendations to the Members of Parliaments to highlight the aspects of the Bill that require immediate attention.

Download the submission letter: PDF.

Text of the Submission

On Friday, March 11, the Lok Sabha passed the Aadhaar (Targeted Delivery of Financial and Other Subsidies, Benefits and Services) Bill, 2016. The Bill was introduced as a money bill and there was no public consultation to evaluate the provisions therein even though there are very serious ramifications for the Right to Privacy and the Right to Association and Assembly. The Bill has made it compulsory for all Indian to enroll for Aadhaar in order to receive any subsidy, benefit, or service from the Government whose expenditure is incurred from the Consolidate Fund of India. Apart from the issue of centralisation of the national biometric database leading to a deep national vulnerability, the Bill also keeps unaddressed two serious concerns regarding the technological framework concerned:

Identification without Consent: Before the Aadhaar project it was not possible for the Indian government or any private entity to identify citizens (and all residents) without their consent. But biometrics allow for non-consensual and covert identification and authentication. The only way to fix this is to change the technology configuration and architecture of the project. The law cannot be used to correct the problems in the technological design of the project.
Fallible Technology: The Biometrics Standards Committee of UIDAI has acknowledged the lack of data on how a biometric authentication technology will scale up where the population is about 1.2 billion. The technology has been tested and found feasible only for a population of 200 million. Further, a report by 4G Identity Solutions estimates that while in any population, approximately 5% of the people have unreadable fingerprints, in India it could lead to a failure to enroll up to 15% of the population. For the current Indian population of 1.2 billion the expected proportion of duplicates is 1/121, a ratio which is far too high. [1]

Based on these concerns, and numerous others, we sincerely request you to ensure that the Bill is rigorously discussed in Rajya Sabha, in public, and, if needed, also by a Parliamentary Standing Committee, before considering its approval and implementation. Towards this, we humbly submit an initial list of recommendations to highlight the aspects of the Bill that require immediate attention:

Implement the Recommendations of the Shah and Sinha Committees: The report by the Group of Experts on Privacy chaired by the Former Chief Justice A P Shah [2] and the report by the Parliamentary Standing Committee on Finance (2011-2012) chaired by Shri Yashwant Sinha [3] have suggested a rigorous and extensive range of recommendations on the Aadhaar / UIDAI / NIAI project and the National Identification Authority of India Bill, 2010 from which the majority sections of the Aadhaar Bill, 2016, are drawn. We request that these recommendations are seriously considered and incorporated into the Aadhaar Bill, 2016.
Authentication using the Aadhaar number for receiving government subsidies, benefits, and services cannot be made mandatory: Section 7 of the Aadhaar Bill, 2016, states that authentication of the person using her/his Aadhaar number can be made mandatory for the purpose of disbursement of government subsidies, benefits, and services; and in case the person does not have an Aadhaar number, s/he will have to apply for Aadhaar enrolment. This sharply contradicts the claims made by UIDAI earlier that the Aadhaar number is “optional, and not mandatory”, and more importantly the directive given by the Supreme Court (via order dated August 11, 2015). The Bill must explicitly state that the Aadhaar number is only optional, and not mandatory, and a person without an Aadhaar number cannot be denied any democratic rights, and public subsidies, benefits, and services, and any private services.
Vulnerabilities in the Enrolment Process: The Bill does not address already documented issues in the enrolment process. In the absence of an exhaustive list of information to be collected, some Registrars are permitted to collect extra and unnecessary information. Also, storage of data for elongated periods with Enrollment agencies creates security risks. These vulnerabilities need to be prevented through specific provisions. It should also be mandated for all entities including the Enrolment Agencies, Registrars, CIDR and the requesting entities to shift to secure system like PKI based cryptography to ensure secure method of data transfer.
Precisely Define and Provide Legal Framework for Collection and Sharing of Biometric Data of Citizens: The Bill defines “biometric information” is defined to include within its scope “photograph, fingerprint, iris scan, or other such biological attributes of an individual.” This definition gives broad and sweeping discretionary power to the UIDAI / Central Government to increase the scope of the term. The definition should be exhaustive in its scope so that a legislative act is required to modify it in any way.
Prohibit Central Storage of Biometrics Data: The presence of central storage of sensitive personal information of all residents in one place creates a grave security risk. Even with the most enhanced security measures in place, the quantum of damage in case of a breach is extremely high. Therefore, storage of biometrics must be allowed only on the smart cards that are issued to the residents.
Chain of Trust Model and Audit Trail: As one of the objects of the legislation is to provide targeted services to beneficiaries and reduce corruption, there should be more accountability measures in place. A chain of trust model must be incorporated in the process of enrolment where individuals and organisations vouch for individuals so that when a ghost is introduced someone has can be held accountable blame is not placed simply on the technology. This is especially important in light of the questions already raised about the deduplication technology. Further, there should be a transparent audit trail made available that allows public access to use of Aadhaar for combating corruption in the supply chain.
Rights of Residents: There should be specific provisions dealing with cases where an individual is not issued an Aadhaar number or denied access to benefits due to any other factor. Additionally, the Bill should make provisions for residents to access and correct information collected from them, to be notified of data breaches and legal access to information by the Government or its agencies, as matter of right. Further, along with the obligations in Section 8, it should also be mandatory for all requesting entities to notify the individuals of any changes in privacy policy, and providing a mechanism to opt-out.
Establish Appropriate Oversight Mechanisms: Section 33 currently specifies a procedure for oversight by a committee, however, there are no substantive provisions laid down that shall act as the guiding principles for such oversight mechanisms. The provision should include data minimisation, and “necessity and proportionality” principles as guiding principles for any exceptions to Section 29.
Establish Grievance Redressal and Review Mechanisms: Currently, there are no grievance redressal mechanism created under the Bill. The power to set up such a mechanism is delegated to the UIDAI under Section 23 (2) (s) of the Bill. However, making the entity administering a project, also responsible for providing for the frameworks to address the grievances arising from the project, severely compromises the independence of the grievance redressal body. An independent national grievance redressal body with state and district level bodies under it, should be set up. Further, the NIAI Bill, 2010, provided for establishing an Identity Review Committee to monitor the usage pattern of Aadhaar numbers. This has been removed in the Aadhaar Bill 2016, and must be restored.

Endnotes

[1] See: http://cis-india.org/internet-governance/blog/Flaws_in_the_UIDAI_Process_0.pdf.

[2] See: http://planningcommission.nic.in/reports/genrep/rep_privacy.pdf.

[3] See: http://164.100.47.134/lsscommittee/Finance/15_Finance_42.pdf.

For more details visit https://cis-india.org/internet-governance/blog/list-of-recommendations-on-the-aadhaar-bill-2016

Vulnerabilities in the UIDAI Implementation Not Addressed by the Aadhaar Bill, 2016

Pooja Saxena and Amber Sinha — 2016-03-21T08:33:53Z

In this infographic, we document the various issues in the Aadhaar enrolment process implemented by the UIDAI, and highlight the vulnerabilities that the Aadhaar Bill, 2016 does not address. The infographic is based on Vidushi Marda’s article 'Data Flow in the Unique Identification Scheme of India,' and is designed by Pooja Saxena, with inputs from Amber Sinha.

Download the infographic: PDF and PNG.

Credits: The illustration uses the following icons from The Noun Project - Thumpbrint created by Daouna Jeong, Duplicate created by Pham Thi Dieu Linh, Copy created by Mahdi Ehsaei.

License: It is shared under Creative Commons Attribution 4.0 International License.

For more details visit https://cis-india.org/internet-governance/blog/vulnerabilities-in-the-uidai-implementation-not-addressed-by-the-aadhaar-bill-2016

Workshop on Big Data in India: Benefits, Harms, and Human Rights (Delhi, October 01)

vanya — 2016-09-28T05:53:55Z

CIS welcomes you to participate in the workshop we are organising on Saturday, October 01 at India Habitat Centre, Delhi, to discuss benefits, harms, and human rights implications of big data technologies, and explore potential research questions. A quick RSVP will be much appreciated.

Workshop invitation: Download (PDF)

Workshop agenda: Download (PDF)

In the last few years, there has been an emergence of the discourse of big data viewing it as an instrument not just for ensuring efficient, targeted and personalised services in the private sector, but also for development, social and policy research, and formalising and monetising various sections of the economy. This possibility is premised upon the idea that there is great knowledge that resides in both traditional and new forms of data made possible by our digital selves, and that we may now have the capability to tap into that knowledge for insights across diverse sectors like healthcare, finance, e-governance, education, law enforcement and disaster management, to name but a few. Alongside, various commentators have also pointed to the new problems and risks that big data could create for privacy of individuals through greater profiling, for free speech and economic choice by strengthening monopolistic tendencies, and for socio-economic inequalities by making existing disparities more acute and facilitating algorithmic bias and exclusion.

From a regulatory perspective, big data technologies pose fundamental challenges to the national data regulatory frameworks that have existed since many years. The nature of collection and utilisation of big data, which is often not driven by immediate purpose of the collected data, conflict with the principles of data minimisation and collection limitation that have been integral to data protection laws globally. This compels us to revisit existing theories of data governance. Additionally, use of big data in public decision-making highlights the question of how algorithmic control and governance must be regulated. This raises concerns around taking determining a balanced position that recognises the importance of big data, including for development actions, and ensures unhindered innovation with simultaneous focus on greater transparency and anonymisation to protect individual privacy, and various big data risks faced by population groups. In order to answer these questions, we need to begin with identifying the different harms and benefits of big data that could arise through its use across sectors and disciplines, especially in the context of human rights.

This workshop is designed around an extensive study of current and potential future uses of big data for governance in India that CIS has undertaken over the last year. The study focused on key central government projects and initiatives like the UID project, the Digital India programme, the Smart Cities Challenge, etc.

We will initiate the workshop with a detailed presentation of our findings and key concerns, which will then shape the discussion agenda of the workshop. We look forward to discuss aspects of big data technologies through the entry points of harms, opportunities, and human rights.

The final session of the workshop will focus on identifying key research questions on the topic, and exploring potential alliances of scholars and organisations that can drive such research activities.

We look forward to making this a forum for knowledge exchange for our friends and colleagues attending the discussion and discuss the opportunity to for potential collaboration.

RSVP: Please send an email to Ajoy Kumar at <ajoy@cis-india.org>.

Organisers: Amber Sinha <amber@cis-india.org> and Sumandro Chattapadhyay <sumandro@cis-india.org>.

For more details visit https://cis-india.org/internet-governance/events/big-data-in-india-benefits-harms-and-human-rights-oct-01-2016

The Future of Privacy in the Age of Big Data

praskrishna — 2016-09-22T23:24:16Z

A study tour on privacy and big data was organised by Friedrich Naumann Foundation for Freedom from September 3 to 10, 2016 in Berlin and Hamburg. Vanya Rakesh was one of the participants from South Asia who went for the tour.

List of Participants

Shahid Ahmad, Deputy Director, Digital Empowerment Foundation
Shahzad Ahmad, Country Director, Bytes for All
Shivam Satnani, Senior Analyst, Data Security Council of India
Vanya Rakesh, Senior Policy Officer, Centre for Internet & Society
Anja Kovacs, Director, Internet Democracy Project
Tshering Cigay Dorji, CEO, Thimphu Tech Park
Vrinda Bhandari, Lawyer and Journalist, Chambers of Trideep Pais (Anwaltskanzlei)
Tahsin Ifnoor Sayeed, Head of Business Intelligence, DNet

Click to see the Agenda

For more details visit https://cis-india.org/internet-governance/news/study-tour-on-future-of-privacy-in-age-of-big-data

Workshop on 'Privacy after Big Data' (Delhi, November 12)

sumandro — 2016-11-12T10:14:52Z

The Centre for Internet and Society (CIS) and the Sarai programme, CSDS, invite you to a workshop on 'Privacy after Big Data: What Changes? What should Change?' on Saturday, November 12. This workshop aims to build a dialogue around some of the key government-led big data initiatives in India and elsewhere that are contributing significant new challenges and concerns to the ongoing debates on the right to privacy. It is an open event. Please register to participate.

Invitation note and agenda: Download (PDF)

Venue and RSVP

Venue: Centre for the Study of Developing Societies 29, Rajpur Road, Civil Lines, Delhi 110054.

Location on Google Maps: https://www.google.com/maps/place/CSDS/@28.677775,77.2162523,17z/.

Registration: Complete this form.

Concept Note

In this age of big data, discussions about privacy are intertwined with the use of technology and the data deluge. Though big data possesses enormous value for driving innovation and contributing to productivity and efficiency, privacy concerns have gained significance in the dialogue around regulated use of data and the means by which individual privacy might be compromised through means such as surveillance, or protected. The tremendous opportunities big data creates in varied sectors ranges from financial technology, governance, education, health, welfare schemes, smart cities to name a few.

With the UID (“Aadhaar”) project re-animating the Right to Privacy debate in India, and the financial technology ecosystem growing rapidly, striking a balance between benefits of big data and privacy concerns is a critical policy question that demands public dialogue and research to inform an evidence based decision.

Also, with the advent of potential big data initiatives like the ambitious Smart Cities Mission under the Digital India Scheme, which would rely on harvesting large data sets and the use of analytics in city subsystems to make public utilities and services efficient, the tasks of ensuring data security on one hand and protecting individual privacy on the other become harder.

As key privacy principles are at loggerheads with big data activities, it is important to consider privacy as an embedded component in the processes, systems and projects, rather than being considered as an afterthought. These examples highlight the current state of discourse around data protection and privacy in India and the shapes they are likely to take in near future.

This workshop aims to build a dialogue around some of the key government-led big data initiatives in India and elsewhere that are contributing significant new challenges and concerns to the ongoing debates on the right to privacy.

Agenda

09:00-09:30 Tea and Coffee

09:30-10:00 Introduction

Mr. Amber Sinha and Mr. Sandeep Mertia
This session will introduce the topic of the workshop in the context of the ongoing works at CIS and Sarai.

10:00-11:00 From Privacy Bill(s) to ‘Habeas Data’

Dr. Usha Ramanathan and Mr. Vipul Kharbanda
This session will present a brief history of the privacy bill(s) in India and end with reflections on ‘habeas data’ as a lens for thinking and actualising privacy after big data.

11:00-11:30 Tea and Coffee

11:30-12:30 Digital ID, Data Protection, and Exclusion

Ms. Amelia Andersdotter and Mr. Srikanth Lakshmanan
This session will discuss national centralised digital ID systems, often operating at a cross-functional scale, and highlight its implications for discussions on data protection, welfare governance, and exclusion from public and private services.

12:30-13:30 Digital Money and Financial Inclusion

Dr. Anupam Saraph and Ms. Astha Kapoor
This session will focus on the rise of digital banking and online payments as core instruments of financial inclusion in India, especially in the context of the Jan Dhan Yojana and UPI, and reflect on the concerns around privacy and financial data.

13:30-14:30 Lunch

14:30-15:30 Big Data and Mass Surveillance

Dr. Anja Kovacs and Mr. Matthew Rice
This session will reflect on the rise of mass communication surveillance across the world, and the evolving challenges of regulating il/legal surveillance by government agencies.

15:30-16:15 Privacy is (a) Right

Mr. Apar Gupta and Ms. Kritika Bhardwaj
This brief session is to share initial ideas and strategies for articulating and actualising a constitutional right to privacy in India.

16:15-16:30 Tea and Coffee

16:30-17:30 Round Table

An open discussion session to conclude the workshop.

Speakers

Mr. Amber Sinha

Amber works on issues surrounding privacy, big data, and cyber security. He is interested in the impact of emerging technologies like artificial intelligence and learning algorithms on existing legal frameworks, and how they need to evolve in response. Amber studied humanities and law at National Law School of India University, Bangalore.

E-mail: amber at cis-india dot org.

Twitter: @ambersinha07.

Ms. Amelia Andersdotter

Amelia Andersdotter has been a Member of the European Parliament. She works on practical implications of data protection laws and consumer information security in Sweden, and digital rights in the Europe in general. Presently she is residing in Bangalore, where she is a visiting scholar with Centre for Internet and Society. She holds a BSc in Mathematics.

URL: https://dataskydd.net.

Twitter: @teirdes.

Dr. Anja Kovacs

Dr. Anja Kovacs directs the Internet Democracy Project in Delhi, India, which works for an Internet that supports free speech, democracy and social justice in India and beyond. Anja’s research and advocacy focuses especially on questions regarding freedom of expression, cybersecurity and the architecture of Internet governance. She has been a member of the of the Investment Committee of the Digital Defenders Partnership and of the Steering Committee of Best Bits, a global network of civil society members. She has also worked as an international consultant on Internet issues, including for the Independent Commission on Multilateralism, the United Nations Development Programme Asia Pacific and the UN Special Rapporteur on Freedom of Expression, Mr. Frank La Rue, as well as having been a Fellow at the Centre for Internet and Society in Bangalore, India.

Internet Democracy Project: https://internetdemocracy.in.

Twitter: @anjakovacs.

Dr. Anupam Saraph

Anupam Saraph has extensively researched India's UID number that has been widely regarded as the game changer in development programs. It has come to be linked with both public and private databases and become the requirement for access to entitlements, benefits, services and rights. Dr. Saraph, who has the design of at least two identification programs to his credit has researched the UID’s functional creep since its inception.

He has been dissecting the myths of what the UID is or is not. He has also tracked the consequences of its linkages on databases that protect national security, sovereignty, democratic status and the entire banking and money system in India. He has also highlighted the implications of its use for targeted delivery of cash subsidies from the Consolidated Fund of India. He has written and lectured widely about the devastating impact of the UID number on development programs, national security and the governability of India.

As a Professor of Systems, Governance and Decision Sciences, Environmental Systems and Business he mentors students and teaches systems, information systems, environmental systems and sustainable development at universities in Europe, Asia and the Americas. He has worked with the Rensselaer Polytechnic Institute, Rijksuniversitiet Groningen, RIVM, University of Edinburgh, Resource Use Institute, Systems Research Institute among others. Dr. Saraph has had the unique distinction of being India’s only person who has held the only office of a City CIO in India, in a PPP arrangement with government, industry and himself. He has also been the first e-governance Advisor to a State government. Dr. Saraph has held CxO and ministerial level positions and serves as an independent director on the boards of Public and Private Sector companies and NGOs. He is also the President of the Nagrik Chetna Manch, an NGO charged with the mission to bring accountability in governance.

Dr. Saraph is also actively engaged in civil society where he participates in several environmental, resource and nature conservation initiatives, has authored draft legislations for river and natural resource conservation, right to good governance and has contributed to governance, election and democratic reforms. Dr. Saraph is a regular columnist in newspapers and writes on issues of governance, future design, technology and education from a systems perspective.

As a future designer and recognized as a global expert on complex systems he helps individuals and organisations understand and design the future of their worlds. Together they address the toughest challenges, accomplish missions and achieve business goals. He also supports building capacity to address the challenges of today as well as to build future designs through teams and effective leadership. Since the eighties Dr. Saraph has modeled complex systems of cities, countries, regions and even the planet. His models have been awarded internationally and even placed in 10-year permanent exhibitions.

Dr Saraph works with business and government executives, civil society leaders, politicians, generals, civil servants, police, trade unionists, community activists, United Nations and ASEAN officials, judges, writers, media, architects, designers, technologists, scientists, entrepreneurs, board members and business leaders of small, mid and large single and trans-national companies, religious leaders and artists across a dozen countries and various industry sectors to help them and their organisations succeed in their missions. He advises the World Economic Forum through its Global Agenda Council for Complex Systems and the Club of Rome, Indian National Association as a founder life member.

Dr Saraph holds a PhD in designing sustainable systems from the faculty of Mathematics and Natural Sciences of the Rijksuniversiteit Groningen, the Netherlands.

Website: http://anupam.saraph.in.

Twitter: @anupamsaraph.

Mr. Apar Gupta

Apar Gupta practices law in Delhi. He is also one of the co-founders of the Internet Freedom Foundation. His work and writing on public interest issues can be accessed at his personal website www.apargupta.com.

Twitter: @aparatbar.

Ms. Astha Kapoor

Astha Kapoor is a public policy strategy consultant working on financial inclusion and digital payments. Currently, she is working with MicroSave. Her tasks involve a focus on government to people (G2P) payments - and her work spans strategy, advisory and evaluation with the DBT Mission, Office of the Chief Economic Advisor, NITI Aayog and ministries pertaining to food, fuel and fertilizer. She recently designed a pilot to digitize uptake of fertilizers in Krishna district, and evaluated the newly introduced coupon system in the Public Distribution System in Bengaluru.

Twitter: @kapoorastha.

Ms. Kritika Bhardwaj

Kritika Bhardwaj works as a Programme Officer at the Centre for Communication Governance (CCG), National Law University, Delhi. Her main areas of research are privacy and data protection. At CCG, she has written about the privacy implications of several contemporary issues such as Aadhaar (India's unique identification project), cloud computing and the right to be forgotten. A lawyer by training, Kritika has a keen interest in information law and human rights law.

Centre for Communication Governance, NLU Delhi: http://ccgdelhi.org.

Twitter: @Kritika12.

Mr. Matthew Rice

Matthew Rice is an Advocacy Officer at Privacy International working across the organisation engaging with international partners and strengthening their capacity on communications surveillance issues. He has previously worked at Privacy International as a consultant building the Surveillance Industry Index, the largest publicly available database on the private surveillance sector ever assembled. Matthew graduated from University of Aberdeen with an LLB (Hons.) and also has an MA in Human Rights from University College London.

Privacy International: https://privacyinternational.org.

Twitter: @mattr3.

Mr. Sandeep Mertia

Sandeep Mertia is a Research Associate at The Sarai Programme, Centre for the Study of Developing Societies, Delhi. He is an ICT engineer by training with research interests in Science & Technology Studies, Software Studies and Anthropology. He is conducting an ethnographic study of emerging modes of data-driven knowledge production in the social sector.

Sarai: http://sarai.net.

Twitter: @SandeepMertia.

Academia: https://daiict.academia.edu/SandeepMertia.

Mr. Srikanth Lakshmanan

Srikanth is a software professional with interests in Internet, follower of Internet policy discussions, volunteers for multiple online campaigns related to Internet. He is also fascinated by FOSS, opendata, localization, Wikipedia, maps, public transit, civic tech and occasionally contributes to them.

Site: http://www.srik.me.

Twitter: @logic.

Mr. Vipul Kharbanda

Vipul Kharbanda is a consultant with the Center for Internet and Society, Bangalore. After finishing his BA.LLB.(Hons.) from National Law School of India University in Bangalore, he worked for India’s largest corporate law firm for two and a half years in their Mumbai office for two years working primarily on the financing of various infrastructure projects such as Power Plants, Roads, Airports, etc. Since quitting his corporate law job, Vipul has been working as the Associate Editor in a legal publishing house which has been publishing legal books and journals for the last 90 years in India. He has also been involved with the Center for Internet and Society as a Consultant working primarily on issues related to privacy and surveillance.

For more details visit https://cis-india.org/internet-governance/events/privacy-after-big-data-delhi-nov-12-2016

Privacy after Big Data: Compilation of Early Research

Saumyaa Naidu — 2016-11-12T01:37:03Z

Download the Compilation (PDF)

Privacy after Big Data

Evolving data science, technologies, techniques, and practices, including big data, are enabling shifts in how the public and private sectors carry out their functions and responsibilities, deliver services, and facilitate innovative production and service models to emerge. For example, in the public sector, the Indian government has considered replacing the traditional poverty line with targeted subsidies based on individual household income and assets. The my.gov.in platform is aimed to enable participation of the connected citizens, to pull in online public opinion in a structured manner on key governance topics in the country. The 100 Smart Cities Mission looks forwards to leverage big data analytics and techniques to deliver services and govern citizens within city sub-systems. In the private sector, emerging financial technology companies are developing credit scoring models using big, small, social, and fragmented data so that people with no formal credit history can be offered loans. These models promote efficiency and reduction in cost through personalization and are powered by a wide variety of data sources including mobile data, social media data, web usage data, and passively collected data from usages of IoT or connected devices.

These data technologies and solutions are enabling business models that are based on the ideals of ‘less’: cash-less, presence-less, and paper-less. This push towards an economy premised upon a foundational digital ID in a prevailing condition of absent legal frameworks leads to substantive loss of anonymity and privacy of individual citizens and consumers vis-a-vis both the state and the private sector. Indeed, the present use of these techniques run contrary to the notion of the ‘sunlight effect’ - making the individual fully transparent (often without their knowledge) to the state and private sector, while the algorithms and means of reaching a decision are opaque and inaccessible to the individual.

These techniques, characterized by the volume of data processed, the variety of sources data is processed from, and the ability to both contextualize - learning new insights from disconnected data points - and de-contextualize - finding correlation rather than causation - have also increased the value of all forms of data. In some ways, big data has made data exist on an equal playing field as far as monetisation and joining up are concerned. Meta data can be just as valuable to an entity as content data. As data science techniques evolve to find new ways of collecting, processing, and analyzing data - the benefits of the same are clear and tangible, while the harms are less clear, but significantly present.

Is it possible for an algorithm to discriminate? Will incorrect decisions be made based on data collected? Will populations be excluded from necessary services if they do not engage with certain models or do emerging models overlook certain populations? Can such tools be used to surveil individuals at a level of granularity that was formerly not possible and before a crime occurs? Can such tools be used to violate rights – for example target certain types of speech or groups online? And importantly, when these practices are opaque to the individual, how can one seek appropriate and effective remedy.

Traditionally, data protection standards have defined and established protections for certain categories of data. Yet, data science techniques have evolved beyond data protection principles. It is now infinitely harder to obtain informed consent from an individual when data that is collected can be used for multiple purposes by multiple bodies. Providing notice for every use is also more difficult – as is fulfilling requirements of data minimization. Some say privacy is dead in the era of big data. Others say privacy needs to be re-conceptualized, while others say protecting privacy now, more than ever, requires a ‘regulatory sandbox’ that brings together technical design, markets, legislative reforms, self regulation, and innovative regulatory frameworks. It also demands an expanding of the narrative around privacy – one that has largely been focused on harms such as misuse of data or unauthorized collection – to include discrimination, marginalization, and competition harms.

In this compilation we have put together a series of articles that we have developed as we explore the impacts – positive and negative – of big data. This includes looking at India’s data protection regime in the context of big data, reviewing literature on the benefits of harms of big data, studying emerging predictive policing techniques that rely on big data, and analyzing closely the impact of big data on specific privacy principles such as consent. This is a growing body of research that we are exploring and is relevant to multiple areas of our work including privacy and surveillance. Feedback and comments on the compilation are welcome and appreciated.

Elonnai Hickok
Director - Internet Governance

For more details visit https://cis-india.org/internet-governance/blog/privacy-after-big-data-compilation-of-early-research

Privacy in the Age of Big Data

amber — 2017-04-11T14:43:59Z

Personal data is freely accessible, shared and even sold, and those to whom this information belongs have little control over its flow.

The article was published in the Asian Age on April 10, 2017.

In 2011 it was estimated that the quantity of data produced globally surpassed 1.8 zettabyte. By 2013, it had increased to 4 zettabytes. This is a result of digital services which involve constant data trails left behind by human activity. This expansion in the volume, velocity, and variety of data available, together with the development of innovative forms of statistical analytics on the data collected, is generally referred to as “Big Data”. Despite significant (though largely unrealised) promises about Big Data, which range from improved decision-making, increased efficiency and productivity to greater personalisation of services, concerns remain about the impact of such datafication of all human activity on an individual’s privacy. Privacy has evolved into a sweeping concept, including within its scope matters pertaining to control over one’s body, physical space in one’s home, protection from surveillance, and from search and seizure, protection of one’s reputation as well as one’s thoughts. This generalised and vague conception of privacy not only comes with great judicial discretion, it also thwarts a fair understanding of the subject. Robert Post called privacy a concept so complex and “entangled in competing and contradictory dimensions, so engorged with various and distinct meanings”, that he sometimes “despairs whether it can be usefully addressed at all”.

This also leaves the idea of privacy vulnerable to considerable suspicion and ridicule. However, while there is a lack of clarity over the exact contours of what constitutes privacy, there is general agreement over its fundamental importance to our ability to lead whole lives. In order to understand the impact of datafied societies on privacy, it is important to first delve into the manner in which we exercise our privacy. The ideas of privacy and data management that are prevalent can be traced to the Fair Information Practice Principles (FIPP). These principles are the forerunners of most privacy regimes internationally, such as the OECD Privacy Guidelines, APEC Framework, or the nine National Privacy Principles articulated by the Justice A.P. Shah Committee Report. All of these frameworks have rights to notice, consent and correction, and how the data may be used, as their fundamental principles. It makes the data subject to the decision-making agent about where and when her/his personal data may be used, by whom, and in what way. The individual needs to be notified and his consent obtained before his personal data is used. If the scope of usage extends beyond what he has agreed to, his consent will be required for the increased scope.

In theory, this system sounds fair. Privacy is a value tied to the personal liberty and dignity of an individual. It is only appropriate that the individual should be the one holding the reins and taking the large decisions about the use of his personal data. This makes the individual empowered and allows him to weigh his own interests in exercising his consent. The allure of this paradigm is that in one elegant stroke, it seeks to ensure that consent is informed and free and also to implement an acceptable trade-off between privacy and competing concerns. This approach worked well when the number of data collectors were less and the uses of data was narrower and more defined. Today’s infinitely complex and labyrinthine data ecosystem is beyond the comprehension of most ordinary users. Despite a growing willingness to share information online, most people have no understanding of what happens to their data.

The quantity of data being generated is expanding at an exponential rate. From smartphones and televisions, trains and airplanes, sensor-equipped buildings and even the infrastructures of our cities, data now streams constantly from almost every sector and function of daily life, “creating countless new digital puddles, lakes, tributaries and oceans of information”. The inadequacy of the regulatory approaches and the absence of a comprehensive data protection regulation is exacerbated by the emergence of data-driven business models in the private sector and the adoption of data-driven governance approach by the government. The Aadhaar project, with over a billion registrants, is intended to act as a platform for a number of digital services, all of which produce enormous troves of data. The original press release by the Central Government reporting the approval by the Cabinet of Ministers of the Digital India programme, speaks of “cradle to grave” digital identity as one of its vision areas.

While the very idea of the government wanting to track its citizens’ lives from cradle to grave is creepy enough in itself, let us examine for a minute what this form of datafied surveillance will entail. A host of schemes under Digital India shall collect and store information through the life cycle of an individual. The result, as we can see, is building databases on individuals, which when combined, will provide a 360 degree view into the lives of individuals. Alongside the emergence of India Stack, a set of APIs built on top of the Aadhaar, conceptualised by iSPIRT, a consortium of select IT companies from India, to be deployed and managed by several agencies, including the National Payments Corporation of India, promises to provide a platform over which different private players can build their applications.

The sum of these interconnected parts will lead to a complete loss of anonymity, greater surveillance and impact free speech and individual choice. The move towards a cashless economy — with sharp nudges from the government — could lead to lack of financial agencies in case of technological failures as has been the case in experiments with digital payments in Africa. Lack of regulation in emerging data driven sectors such as Fintech can enable predatory practices where right to remotely deny financial services can be granted to private sector companies. An architecture such as IndiaStack enables datafication of financial transactions in a way that enables linked and structured data that allows continued use of the transaction data collected. It is important to recognise that at the stage of giving consent, there are too many unknowns for us to make informed decisions about the future uses of our personal data. Despite blanket approvals allowing any kind of use granted contractually through terms of use and privacy policies, there should be legal obligations overriding this consent for certain kinds of uses that may require renewed consent.

Biometrics-based identification in UK: In 2005, researchers from London School of Economics and Political Science came out with a detailed report on the UK Identity Cards Bill (‘UK Bill’) — the proposed legislation for a national identification system based on biometrics. The project also envisaged a centralised database (like India) that would store personal information along with the entire transaction history of every individual. The report pointed strongly against the centralising storage of information and suggested other alternatives such as a system based on smartcards (where biometrics are stored on the card itself) or offline biometric-reader terminals.

As per the report, the alternatives would also have been cheaper as neither required real-time online connectivity. In India, online authentication is a far greater challenge. According to Network Readiness Index, 2016, India ranks 91, whereas UK is placed eight. Poor Internet connectivity can raise a lot of problems in the future including paralysis of transactions. The UK identification project was subsequently discarded as a result of the privacy and cost considerations raised in this report.

Aadhaar: Privacy concerns

Once the data is collected through National Information Utilities, it will be privatised and controlled by private utilities.
Once an individual’s data is entered in the system, it cannot be deleted. That individual will have no control over it.
Aadhaar Data (Demographic details along with photographs) are shared/transferred with the private entities including telecom companies as per the Aadhaar (Targeted delivery of Financial and other subsidies, benefits and services) Act, 2016 with the consent of Aadhaar number holder to fulfil their e-KYC requirements. The data is shared in encrypted form through secured channel.
Aadhaar Enabled Payment System (AEPS) on which 119 banks are live.
More than 33.87 crore transactions have taken place through AEPS, which was only 46 lakhs in May 2014.
As on 30-9-2016, 78 government schemes were linked to Aadhaar.
The Aadhaar (Targeted Delivery of Financial and Other Subsidies, Benefits and Services) Act, 2016, provides that no core-biometric information (fingerprints, iris scan) shall be shared with anyone for any reason whatsoever (Sec 29) and that the biometric information shall not be used for any purpose other than generation of Aadhaar and authentication.
Access to the data repository of UIDAI, called the Central Identities Data Repository(CIDR), is provided to third parties or private companies.

Central Monitoring System (CMS) is already live in Delhi, New Delhi and Mumbai. Union minister Ravi Shankar Prasad revealed this in one of his replies in the Lok Sabha last year. CMS has been set up to automate the process of Lawful Interception & Monitoring of telecommunications.

Lawful Intercept and Monitoring (LIM) systems are used by the Indian Government to intercept records of voice, SMSes, GPRS data, details of a subscriber’s application and recharge history and call detail record (CDR) and monitor Internet traffic, emails, web-browsing, Skype and any other Internet activity of Indian users.

For more details visit https://cis-india.org/internet-governance/blog/asian-age-amber-sinha-april-10-2017-privacy-in-the-age-of-big-data

Big Data and Positive Social Change in the Developing World: A White Paper for Practitioners and Researchers

nishant — 2014-10-01T03:52:35Z

I was a part of a working group writing a white paper on big data and social change, over the last six months. This white paper was produced by a group of activists, researchers and data experts who met at the Rockefeller Foundation’s Bellagio Centre to discuss the question of whether, and how, big data is becoming a resource for positive social change in low- and middle-income countries (LMICs).

Bellagio Big Data Workshop Participants. (2014). “Big data and positive social change in the developing world: A white paper for practitioners and researchers.” Oxford: Oxford Internet Institute. Available online: http://ssrn.com/abstract=2491555.

Summary

Our working definition of big data includes, but is not limited to, sources such as social media, mobile phone use, digitally mediated transactions, the online news media, and administrative records. It can be categorised as data that is provided explicitly (e.g. social media feedback); data that is observed (e.g. mobile phone call records); and data that is inferred and derived by algorithms (for example social network structure or inflation rates). We defined four main areas where big data has potential for those interested in promoting positive social change: advocating and facilitating; describing and predicting; facilitating information exchange and promoting accountability and transparency.

In terms of advocating and facilitating, we discussed ways in which volunteered data may help organisations to open up new public spaces for discussion and awareness-building; how both aggregating data and working across different databases can be tools for building awareness, and howthe digital data commons can also configure new communities and actions (sometimes serendipitously) through data science and aggregation. Finally, we also looked at the problem of overexposure and howactivists and organisations can protect themselves and hide their digital footprints. The challenges we identified in this area were how to interpret data correctly when supplementary information may be lacking; organisational capacity constraints around processing and storing data, and issues around data dissemination, i.e. the possible negative consequences of inadvertently identifying groups or individuals.

Next, we looked at the way big data can help describe and predict, functions which are particularly important in the academic, development and humanitarian areas of work where researchers can combine data into new dynamic, high-resolution datasets to detect new correlations and surface new questions. With data such as mobile phone data and Twitter analytics, understanding the data’s comprehensiveness, meaning and bias are the main challenges, accompanied by the problem of developing new and more comprehensive ethical systems to protect data subjects where data is observed rather than volunteered.

The next group of activities discussed was facilitating information exchange. We looked at mobile-based information services, where it is possible for a platform created around a particular aim (e.g. agricultural knowledge-building) to incorporate multiple feedback loops which feed into both research and action. The pitfalls include the technical challenge of developing a platform which is lean yet multifaceted in terms of its uses, and particularly making it reliably available to low-income users. This kind of platform, addressed by big data analytics, also offers new insights through data discovery and allows the provider to steer service provision according to users’ revealed needs and priorities.

Our last category for big data use was accountability and transparency, where organisations are using crowdsourcing methods to aggregate and analyse information in real time to establish new spaces for critical discussion, awareness and action. Flows of digital information can be managed to prioritise participation and feedback, provide a safe space to engage with policy decisions and expose abuse. The main challenges are how to keep sensitive information (and informants) safe while also exposing data and making authorities accountable; how to make the work sustainable without selling data, and how to establish feedback loops so that users remain involved in the work beyond an initial posting. In the crowdsourcing context, new challenges are also arising in terms of how to verify and moderate real-time flows of information, and how to make this process itself transparent.

Finally, we also discussed the relationship between big and open data. Open data can be seen as a system of governance and a knowledge commons, whereas big data does not by its nature involve the idea of the commons, so we leaned toward the term ‘opening data’, i.e. processes which could apply to commercially generated as much as public-sector datasets. It is also important to understand where to prioritise opening, and where this may exclude people who are not using the ‘right’ technologies: for example, analogue methods (e.g. nailing a local authority budget to a town hall door every month) may be more open than ‘open’ digital data that’s available online.

Our discussion surfaced many questions to do with representation and meaning: must datasets be interpreted by people with local knowledge? For researchers to get access to data that is fully representative, do we need a data commons? How are data proprietors engaging with the power dynamics and inequalities in the research field, and how can civil society engage with the private sector on its own terms if data access is skewed towards elites? We also looked at issues of privacy and risk: do we need a contextual risk perspective rather than a single set of standards? What is the role of local knowledge in protecting data subjects, and what kinds of institutions and practices are necessary? We concluded that there is a case to be made for building a data commons for private/public data, and for setting up new and more appropriate ethical guidelines to deal with big data, since aggregating, linking and merging data present new kinds of privacy risk. In particular, organisations advocating for opening datasets must admit the limitations of anonymisation, which is currently being ascribed more power to protect data subjects than it merits in the era of big data.

Our analysis makes a strong case that it is time for civil society groups in particular to become part of the conversation about the power of data. These groups are the connectors between individuals and governments, corporations and governance institutions, and have the potential to promote big data analysis that is locally driven and rooted. Civil society groups are also crucially important but currently underrepresented in debates about privacy and the rights of technology users, and civil society as a whole has a responsibility for building critical awareness of the ways big data is being used to sort, categorise and intervene in LMICs by corporations, governments and other actors. Big data is shaping up to be one of the key battlefields of our era, incorporating many of the issues civil society activists worldwide have been working on for decades. We hope that this paper can inform organisations and
individuals as to where their particular interests may gain traction in the debate, and what their contribution may look like.

Click to download the full white paper here. (PDF, 1.95 Mb)

For more details visit https://cis-india.org/internet-governance/blog/big-data-and-positive-social-change-in-developing-world

Benefits, Harms, Rights and Regulation: A Survey of Literature on Big Data

Amber Sinha, Vanya Rakesh, Vidushi Marda and Geethanjali Jujjavarapu — 2017-03-23T02:17:56Z

This survey draws upon a range of literature including news articles, academic articles, and presentations and seeks to disaggregate the potential benefits and harms of big data, organising them into several broad categories that reflect the existing scholarly literature. The survey also recognises the non-technical big data regulatory options which are in place as well as those which have been proposed by various governments, civil society groups and academics.

The survey was edited by Sunil Abraham, Elonnai Hickok and Leilah Elmokadem

Introduction

In 2011, it was estimated that the quantity of data produced globally surpassed 1.8 zettabyte.By 2013 it had increased to 4 zettabytes. With the nascent development of the so-called ‘Internet of Things’ gathering pace, these trends are likely to continue. This expansion in the volume, velocity, and variety of data available, together with the development of innovative forms of statistical analytics, is generally referred to as “Big Data”; though there is no single agreed upon definition of the term. Although still in its initial stages, big data promises to provide new insights and solutions across a wide range of sectors, many of which would have been unimaginable even a decade ago.

Despite enormous optimism about the scope and variety of big data’s potential applications, many remain concerned about its widespread adoption, with some scholars suggesting it could generate as many harms as benefits. Most notably are the concerns about the inevitable threats to privacy associated with the generation, collection and use of large quantities of data. Concerns have also been raised regarding, for example, the lack of transparency around the design of algorithms used to process the data, over-reliance on big data analytics as opposed to traditional forms of analysis and the creation of new digital divides. The existing literature on big data is vast. However, many of the benefits and harms identified by researchers tend to focus on sector specific applications of Big Data analytics, such as predictive policing, or targeted marketing. Whilst these examples can be useful in demonstrating the diversity of big data’s possible applications, they do not offer a holistic perspective of the broader impacts of Big Data.

Click to read the full survey here

For more details visit https://cis-india.org/internet-governance/blog/benefits-harms-rights-and-regulation-survey-of-literature-on-big-data

The Fintech Disruption - Innovation, Regulation, and Transformation

praskrishna — 2017-03-29T02:10:49Z

Sumandro Chattapadhyay attended an event organized by Carnegie India on March 28, 2017. The aim of the initiative was that inclusive and sustainable regulations require constant interaction between policy makers and industry.

Select senior level policymakers, leaders from the banking industry and dynamic start-up founders and innovators gathered for the meet-up. The intention is to follow up on the discussions and debates from the round-table and come out with a detailed report on Fintech Regulations based on the research and conversations with start-ups and other valuable stakeholders.

See the conference agenda

For more details visit https://cis-india.org/internet-governance/news/the-fintech-disruption-innovation-regulation-and-transformation

An Urgent Need for the Right to Privacy

sumandro — 2016-03-17T07:40:12Z

Along with a group of individuals and organisations from academia and civil society, we have drafted and are signatories to an open letter addressed to the Union government and urging the same to "urgently take steps to uphold the constitutional basis to the right to privacy and fulfil it’s constitutional and international obligations." Here we publish the text of the open letter. Please follow the link below to support it by joining the signatories.

Read and sign the open letter.

Text of the Open Letter

As our everyday lives are conducted increasingly through electronic communications the necessity for privacy protections has also increased. While several countries across the globe have recognised this by furthering the right to privacy of their citizens the Union Government has adopted a regressive attitude towards this core civil liberty. We urge the Union Government to take urgent measures to safeguard the right to privacy in India.

Our concerns are based on a continuing pattern of disregard for the right to privacy by several governments in the past. This trend has increased as can be plainly viewed from the following developments.

In 2015, the Attorney General in the case of *K.S. Puttaswamy v. Union of India*, argued before the Hon’ble Supreme Court that there is no right to privacy under the Constitution of India. The Hon'ble Court was persuaded to re-examine the basis of the right to privacy upsetting 45 years of judicial precedent. This has thrown the constitutional right to privacy in doubt and the several judgements that have been given under it. This includes the 1997 PUCL Telephone Tapping judgement as well. We urge the Union Government to take whatever steps are necessary and urge the Supreme Court to hold that a right to privacy exists under the Constitution of India.

Recently Mr. Arun Jaitley, Minister for Finance introduced the Aadhaar (Targeted Delivery of Financial and Other Subsidies, Benefits and Services) Bill, 2016. This bill was passed on March 11, 2016 in the middle of budget discussion on a short notice as a money bill in the Lok Sabha when only 73 of 545 members were present. Its timing and introduction as a money bill prevents necessary scrutiny given the large privacy risks that arise under it. This version of the bill was never put up for public consultation and is being rushed through without adequate discussion. Even substantively it fails to give accountable privacy safeguards while making Aadhaar mandatory for availing any government subsidy, benefit, or service.

We urge the Union Government to urgently take steps to uphold the constitutional basis to the right to privacy and fulfil it’s constitutional and international obligations. We encourage the Government to have extensive public discussions on the Aadhaar Bill before notifying it. We further call upon them to constitute a drafting committee with members of civil society to draft a comprehensive statute as suggested by the Justice A.P. Shah Committee Report of 2012.

Signatories:

Amber Sinha, the Centre for Internet and Society
Japreet Grewal, the Centre for Internet and Society
Joshita Pai, Centre for Communication Governance, National Law University
Raman Jit Singh Chima, Access Now
Sarvjeet Singh, Centre for Communication Governance, National Law University
Sumandro Chattapadhyay, the Centre for Internet and Society
Sunil Abraham, the Centre for Internet and Society
Vanya Rakesh, the Centre for Internet and Society

For more details visit https://cis-india.org/internet-governance/blog/an-urgent-need-for-the-right-to-privacy

Press Release, March 15, 2016: The New Bill Makes Aadhaar Compulsory!

Amber Sinha — 2016-03-16T10:11:32Z

We published and circulated the following press release on March 15, 2016, to highlight the fact that the Section 7 of the Aadhaar Bill, 2016 states that authentication of the person using her/his Aadhaar number can be made mandatory for the purpose of disbursement of government subsidies, benefits, and services; and in case the person does not have an Aadhaar number, s/he will have to apply for Aadhaar enrolment.

Nandan Nilekani, the former chairperson of the Unique Identification Authority of India had repeatedly stated that Aadhaar is not mandatory. However, in the last few years various agencies and departments of the government, both at the central and state level, had made it mandatory in order to be able to avail beneficiary schemes or for the arrangement of salary, provident fund disbursals, promotion, scholarship, opening bank account, marriages and property registrations. In August 2015, the Supreme Court passed an order mandating that the Aadhaar number shall remain optional for welfare schemes, stating that no person should be denied any benefit for reason of not having an Aadhaar number, barring a few specified services.

The Aadhaar (Targeted Delivery of Financial and Other Subsidies, Benefits and Services) Act, 2016, however, has not followed this mandate. Section 7 of the Bill states that “a person should be authenticated or give proof of the Aadhaar number to establish his/her identity” “as a condition for receiving subsidy, benefit or service”. Further, it reads, “In the case a person does not have an Aadhaar number, he/she should make an application for enrollment.” The language of the provision is very clear in making enrollment in Aadhaar mandatory, in order to be entitled for welfare services. Section 7 also says that “the person will be offered viable and alternate means of identification for receiving the subsidy, benefit or service. However, these unspecified alternate means will be made available in the event “an Aadhaar number is not assigned”. This language is vague and it is not clear whether it mandates alternate means of identification for those who choose not to apply for an Aadhaar number for any reason. The fact that it does make it mandatory to apply for an Aadhaar number for persons without it, may lead to the presumption that the alternate means are to be made available for those who may have applied for an Aadhaar number but it has not been assigned for any reason. It is also noteworthy that draft legislation is silent on what the “viable and alternate means of identification” could be. There are a number of means of identification, which are recognised by the state, and a schedule with an inclusive list could have gone a long way in reducing the ambiguity in this provision.

Another aspect of Section 7 which is at odds with the Supreme Court order is that it allows making an Aadhaar number mandatory for “for receipt of a subsidy, benefit or service for which the expenditure is incurred” from the Consolidated Fund of India. The Supreme Court had been very specific in articulating that having an Aadhaar number could not be made compulsory except for “any purpose other than the PDS Scheme and in particular for the purpose of distribution of foodgrains, etc. and cooking fuel, such as kerosene” or for the purpose of the LPG scheme. The restriction in the Supreme Court order was with respect to the welfare schemes, however, instead of specifying the schemes, Section 7 specified the source of expenditure from which subsidies, benefits and services can be funded, making the scope much broader. Section 7, in effect, allows the Central Government to circumvent the Supreme Court order if they choose to tie more subsidies, benefits and services to the Consolidated Fund of India.

These provisions run counter to the repeated claims of the government for the last six years that Aadhaar is not compulsory, nor is the specification by the Supreme Court for restricting use of Aadhaar to a few services only, reflected anywhere in the Bill. The “viable and alternate means” clause is too vague and inadequate to prevent denial of benefits to those without an Aadhaar number. The sum effect of these factors is to give the Central Government powers to make Aadhaar mandatory, for all practical purposes.

For more details visit https://cis-india.org/internet-governance/blog/press-release-aadhaar-15032016-the-new-bill-makes-aadhaar-compulsory

Analysis of Aadhaar Act in the Context of A.P. Shah Committee Principles

Vipul Kharbanda — 2016-03-17T19:43:53Z

Whilst there are a number of controversies relating to the Aadhaar Act including the fact that it was introduced in a manner so as to circumvent the majority of the opposition in the upper house of the Parliament and that it was rushed through the Lok Sabha in a mere eight days, in this paper we shall discuss the substantial aspects of the Act in relation to privacy concerns which have been raised by a number of experts. In October 2012, the Group of Experts on Privacy constituted by the Planning Commission under the chairmanship of Justice AP Shah Committee submitted its report which listed nine principles of privacy which all legislations, especially those dealing with personal should adhere to. In this paper, we shall discuss how the Aadhaar Act fares vis-à-vis these nine principles.

Introduction

The Aadhaar (Targeted Delivery of Financial and Other Subsidies, Benefits and Services) Act, 2016 (the “Aadhaar Act”) was introduced in the Lok Sabha (lower house of the Parliament) by Minister of Finance, Mr. Arun Jaitley, in on March 3, 2016, and was passed by the Lok Sabha on March 11, 2016. It was sent back by the Rajya Sabha with suggestions but the Lok Sabha rejected those suggestions, which means that the Act is now deemed to have been passed by both houses as it was originally introduced as a Money Bill. Whilst there are a number of controversies relating to the Aadhaar Act including the fact that it was introduced in a manner so as to circumvent the majority of the opposition in the upper house of the Parliament and that it was rushed through the Lok Sabha in a mere eight days, in this paper we shall discuss the substantial aspects of the Act in relation to privacy concerns which have been raised by a number of experts. In October 2012, the Group of Experts on Privacy constituted by the Planning Commission under the chairmanship of Justice AP Shah Committee submitted its report which listed nine principles of privacy which all legislations, especially those dealing with personal should adhere to. In this paper, we shall discuss how the Aadhaar Act fares vis-à-vis these nine principles.

In order for the reader to better understand the frame of reference on which we shall analyse the Aadhaar Act, the nine principles contained in the report of the Group of Experts on Privacy are explained in brief below:

Principle 1: Notice - Does the legislation/regulation require that entities governed by the Act give simple to understand notice of its information practices to all individuals, in clear and concise language, before any personal information is collected from them.
Principle 2: Choice and Consent - Does the legislation/regulation require that entities governed under the Act provide the individual with the option to opt in/opt out of providing their personal information.
Principle 3: Collection Limitation - Does the legislation/regulation require that entities governed under the Act collect personal information from individuals only as is necessary for a purpose identified.
Principle 4: Purpose Limitation - Does the legislation/regulation require that personal data collected and processed by entities governed by the Act be adequate and relevant to the purposes for which they are processed.
Principle 5: Access and Correction - Does the legislation/regulation allow individuals: access to personal information about them held by an entity governed by the Act; the ability to seek correction, amendments, or deletion of such information where it is inaccurate, etc.
Principle 6: Disclosure - Does the legislation ensure that information is only disclosed to third parties after notice and informed consent is obtained. Is disclosure allowed for law enforcement purposes done in accordance with laws in force.
Principle 7: Security - Does the legislation/regulation ensure that information that is collected and processed under that Act, is done so in a manner that protects against loss, unauthorized access, destruction, etc.
Principle 8: Openness - Does the legislation/regulation require that any entity processing data take all necessary steps to implement practices, procedures, policies and systems in a manner proportional to the scale, scope, and sensitivity to the data that is collected and processed and is this information made available to all individuals in an intelligible form, using clear and plain language?
Principle 9: Accountability - Does the legislation/regulation provide for measures that ensure compliance of the privacy principles? This would include measures such as mechanisms to implement privacy policies; including tools, training, and education; and external and internal audits.

Analysis of the Aadhaar Act

The Aadhaar Act has been brought about to give legislative backing to the most ambitious individual identity programme in the world which aims to provide a unique identity number to the entire population of India. The rationale behind this scheme is to correctly identify the beneficiaries of government schemes and subsidies so that leakages in government subsidies may be reduced. In furtherance of this rationale the Aadhaar Act gives the Unique Identification Authority of India (“UIDAI”) the power to enroll individuals by collecting their demographic and biometric information and issuing an Aadhaar number to them. Below is an analysis of the Act based on the privacy principles enumerated I the A.P. Shah Committee Report.

Collection Limitation

Collection of Biometric and Demographic Information: The Aadhaar Act entitles every “resident” [1] to obtain an Aadhaar number by submitting his/her biometric (photograph, finger print, Iris scan) and demographic information (name, date of birth, address [2]) [3]. It must be noted that the Act leaves scope for further information to be included in the collection process if so specified by regulations. It must be noted that although the Act specifically provides what information can be collected, it does not specifically prohibit the collection of further information. This becomes relevant because it makes it possible for enrolling agencies to collect extra information relating to individuals without any legal implications of such act.

Authentication Records: The UIDAI is mandated to maintain authentication records for a period which is yet to be specified (and shall be specified in the regulations) but it cannot collect or keep any information regarding the purpose for which the authentication request was made [4].

Unauthorized Collection: Any person who in not authorized to collect information under the Act, and pretends that he is authorized to do so, shall be punishable with imprisonment for a term which may extend to three years or with a fine which may extend to Rs. 10,000/- or both. In case of companies the maximum fine amount would be increased to Rs. 10,00,000/- [5]. It must be noted that the section, as it is currently worded seems to criminalize the act of impersonation of authorized individuals and the actual collection of information is not required to complete this offence. It is not clear if this section will apply if a person who is authorized to collect information under the Act in general, collects some information that he/she is not authorized to collect.

Notice

Notice during Collection: The Aadhaar Act requires that the agencies enrolling people for distribution of Aadhaar numbers should give people notice regarding: (a) the manner in which the information shall be used; (b) the nature of recipients with whom the information is intended to be shared during authentication; and (c) the existence of a right to access information, the procedure for making requests for such access, and details of the person or department in-charge to whom such requests can be made [6]. A failure to comply with this requirement will make the agency liable for imprisonment of upto 3 years or a fine of Rs. 10,000/- or both. In case of companies the maximum fine amount would be increased to Rs. 10,00,000/- [7]. It must be noted that the Act leaves the manner of giving such notice in the realm of regulations and does not specify how this notice is to be provided, which leaves important specifics to the realm of the executive.

Notice during Authentication: The Aadhaar Act requires that authenticating agencies shall give information to the individuals whose information is to be authenticated regarding (a) the nature of information that may be shared upon authentication; (b) the uses to which the information received during authentication may be put by the requesting entity; and (c) alternatives to submission of identity information to the requesting entity [8]. A failure to comply with this requirement will make the agency liable for imprisonment of upto 3 years or a fine of Rs. 10,000/- or both. In case of companies the maximum fine amount would be increased to Rs. 10,00,000/- [9]. Just as in the case of notice during collection, the manner in which the notice is required to be given is left to regulations leaving an unclear picture as to how comprehensive, accessible, and frequent this notice must be.

Access and Correction

Updating Information: The Aadhaar Act give the UIDAI the power to require residents to update their demographic and biometric information from time to time so as to maintain its accuracy [10].

Access to Information: The Aadhaar Act provides that Aadhaar number holders may request the UIDAI to provide access to their identity information expect their core biometric information [11]. It is not clear why access to the core biometric information [12] is not provided to an individual. Further, since section 6 seems to place the responsibility of updation and accuracy of biometric information on the individual, it is not clear how a person is supposed to know that the biometric information contained in the database has changed if he/she does not have access to the same. It may also be noted that the Aadhaar Act provides only for a request to the UIDAI for access to the information and does not make access to the information a right of the individual, this would mean that it would be entirely upon the discretion of the UIDAI to refuse to grant access to the information once a request has been made.

Alteration of Information: The Aadhaar Act gives individuals the right to request the UIDAI to alter their demographic if the same is incorrect or has changed and biometric information if it is lost or has changed. Upon receipt of such a request, if the UIDAI is satisfied, then it may make the necessary alteration and inform the individual accordingly. The Act also provides that no identity information in the Central database shall be altered except as provided in the regulations [13]. This section provides for alteration of identity information but only in the circumstances given in the section, for example demographic information cannot be changed if it has been lost, similarly biometric information cannot be changed if it is inaccurate. Further, the section does not give a right to the individual to get the information altered but only entitles him/her to request the UIDAI to make a change and the final decision is left to the “satisfaction” of the UIDAI.

Access to Authentication Record: Every individual is given the right to obtain his/her authentication record in a manner to be specified by regulations. [14]

Disclosure

Sharing during Authentication: The UIDAI is entitled to reply to any authentication query with a positive, negative or any other response which may be appropriate and may share identity information except core biometric information with the requesting entity [15]. The language in this provision is ambiguous and it is unclear what 'identity information' may be shared and why it would be necessary to share such information as Aadhaar is meant to be only a means of authentication so as to remove duplication.

Potential Disclosure during Maintenance of CIDR: The UIDAI has been given the power to appoint any one or more entities to establish and maintain the Central Identities Data Repository (CIDR) [16]. If a private entity is involved in the maintenance and establishment of the CIDR it can be presumed that there is the possibilty that they would, to some degree, have access to the information stored in the CIDR, yet there are no clear standards in the Act regarding this potential access. And the process for appointing such entities. The fact that the UIDAI has been given the freedom to appoint an outside entity to maintain a sensitive asset such as the CIDR raises security concerns.

Restriction on Sharing Information: The Aadhaar Act creates a blanket prohibition on the usage of core biometric information for any purpose other than generation of Aadhaar numbers and also prohibits its sharing for any reason whatsoever [17]. Other identity information is allowed to be shared in the manner specified under the Act or as may be specified in the regulations [18]. The Act further provides that the requesting entities shall not disclose the identity information except with the prior consent of the individual to whom the information relates [19]. There is also a prohibition on publicly displaying Aadhaar number or core biometric information except as specified by regulations [20]. Officers or the UIDAI or the employees of the agencies employed to maintain the CIDR are prohibited from revealing the information stored in the CIDR or authentication record to anyone [21]. It is not clear why an exception has been carved out and what circumstances would require publicly displaying Aadhaar numbers and core biometric information, especially since the reasons for which such important information may be displayed has been left up to regulations which have relatively less oversight. The section also provides the requesting entities with an option to further disclose information if they take consent of the individuals. This may lead to a situation where a requesting entity, perhaps the of an essential service, may take the consent of the individual to disclose his/her information in a standard form contract, without the option of saying no to such a request. It may lead to situations where the option is between giving consent to disclosure or denial or service altogether. For this reason it is necessary that there should be an opt in and opt out provision wherever a requesting entity has the power to ask for disclosure of information, so that people are not coerced into giving consent.

Disclosure in Specific Cases: The prohibition on disclosure of information (except for core biometric information) does not apply in case of any disclosure made pursuant to an order of a court not below that of a District Judge [22]. There is another exception to the prohibition on disclosure of information (including core biometric information) in the interest of national security if so directed by an officer not below the rank of a Joint Secretary to the Government of India specially authorised in this behalf by an order of the Central Government. Before any such direction can take effect, it will be reviewed by an oversight committee consisting of the Cabinet Secretary and the Secretaries to the Government of India in the Department of Legal Affairs and the Department of Electronics and Information Technology. Any such direction shall be valid for a period of three months and may be extended by another three months after the review by the Oversight Committee [23]. Although this provision has been criticized, and rightly so, for the lack of accountability since the entire process is being handled within the executive and there is no independent oversight, however it must be mentioned that the level of oversight provided here is similar to that provided to interception requests, which involve a much graver if not the same level of invasion of privacy.

Penalty for Disclosure: Any person who intentionally and in an unauthorized manner discloses, transmits, copies or otherwise disseminates any identity information collected in the course of enrolment or authentication shall be punishable with imprisonment of upto 3 years or a fine of Rs. 10,000/- or both. In case of companies the maximum fine amount would be increased to Rs. 10,00,000/ [24]. Further any person who intentionally and in an unathorised manner, accesses information in the CIDR [25], downloads, copies or extracts any data from the CIDR [26], or reveals or shares or distributes any identity information, shall be punishable with imprisonment of upto 3 years and a fine of not less than Rs. 10,00,000/-.

Consent

Consent for Authentication: A requesting entity has to take the consent of the individual before collecting his/her identity information for the purposes of authentication and also has to inform the individual of the alternatives to submission of the identity information [27]. Although this provision requires entities to take consent from the individuals before collecting information for authentication, however how useful this requirement of consent would be, still remains to be seen. There may be instances where a requesting entity may take the consent of the individual in a standard form contract, without the individual realizing what he/she is consenting to.

Note: The Aadhaar Act provides no requirement or standard for the form of consent that must be taken during enrollment. This is significant as it is the point at which individuals are providing raw biometric material and during previous enrollment, has been a point of weakness as the consent taken is an enabler to function creep as it allows the UIDAI to share information with engaged in delivery of welfare services [28].

Purpose

Use of Information: The authenticating entities are allowed to use the identity information only for the purpose of submission to the CIDR for authentication [29]. Further, the Act specifies that identity information available with a requesting entity shall not be used for any purpose other than that specified to the individual at the time of submitting the information for authentication [30]. The Act also provides that any authentication entity which uses the information for any purpose not already specified will be liable to punishment of imprisonment of upto 3 years or a fine of Rs. 10,000/- or both. In case of companies the maximum fine amount would be increased to Rs. 10,00,000/ [31].

Security

Security and Confidentiality of Information: It is the responsibility of the UIDAI to ensure the security and confidentiality of the identity and authentication information and it is required to take all necessary action to ensure that the information in the CIDR is protected against unauthorized access, use or disclosure and against accidental or intentional destruction, loss or damage [32]. The UIDAI is required to adopt and implement appropriate technical and organisational security measures and also ensure that its contractors do the same [33]. It is also required to ensure that the agreements entered into with its contractors impose the same conditions as are imposed on the UIDAI under the Act and that they shall act only upon the instructions of the UIDAI [34].

Biometric Information to be Electronic Record: The biometric information collected by the UIDAI has been deemed to be an “electronic record” as well as “sensitive personal data or information”, which would mean that in addition to the provisions of the Aadhaar Act, the provisions contained in the Information Technology Act, 2000 will also apply to such information [35]. It must be noted that while the Act lays down the principle that UIDAI is required to ensure the saecurity of the information, it does not lay down any guidelines as to the minimum security standards to be implemented by the Authority. However, through this section the legislature has linked the security standards contained in the IT Act to the information contained in this Act. While this is a clean way of dealing with the issue, some people may argue that the extremely sensitive nature of the information contained in the CIDR requires the standards for security to be much stricter than those provided in the IT Act. However, a perusal of Rule 8 of the Information Technology (Reasonable security practices and procedures and sensitive personal data or information) Rules, 2011 shows that the Rules themselves provide that the standard of security must be commensurate with the information assets being protected. It would thus seem that the Act provides enough room to protect such important information, but perhaps leaves too much room for interpretation for such an important issue.

Penalty for Unauthorised Access: Apart from the security provisions included in the legislation, the Aadhaar Act also provides for punishment of imprisonment of upto 3 years and a fine which shall not be less than Rs. 10,00,000/-, in case of the following offences:

introduction of any virus or other computer contaminant in the CIDR [36];
causing damage to the data in the CIDR [37];
disruption of access to the CIDR [38];
denial of access to any person who is authorised to access the CIDR [39];
destruction, deletion or alteration of any information stored in any removable storage media or in the CIDR or diminishing its value or utility or affecting it injuriously by any means [40];
stealing, concealing, destroying or altering any computer source code used by the Authority with an intention to cause damage [41].

Further, unauthorized usage or tampering with the data in the CIDR or in any removable storage medium with the intent of modifying information relating to Aadhaar number holder or discovering any information thereof, is also punishable with imprisonment for a term which may extend to 3 years and also a fine which may extend to Rs. 10,000/- [42].

Accountability

Inspections and Audits: One of the functions listed in the powers and functions of the UIDAI is the power to call for information and records, conduct inspections, inquiries and audit of the operations of the CIDR, Registrars, enrolling agencies and other agencies appointed under the Aadhaar Act [43].

Grievance Redressal: Another function of the UIDAI is to set up facilitation centres and grievance redressal mechanisms for redressal of grievances of individuals, Registrars, enrolling agencies and other service providers [44]. It must be said here that considering the importance that the government has given to and intends to give to Aadhaar in the future, an essential task such as grievance redressal should not be left entirely to the discretion of the UIDAI and some grievance redressal mechanism should be incorporated into the Act itself.

Openness

There does not seem to be any provision in the Aadhaar Act which requires the UIDAI to make its privacy policies and procedure available to the public in general even though the UIDAI has the responsibility to maintain the security and confidentiality of the information.

Endnotes

[1] A resident is defined as any person who has resided in India for a period of atleasy 182 days in the previous 12 months.

[2] It has been specified that demographic information will not include race, religion, caste, tribe, ethnicity, language, records of entitlement, income or medical history.

[3] Section 3(1) of the Aadhaar Act.

[4] Section 32(1) and 32(3) of the Aadhaar Act.

[5] Section 36 of the Aadhaar Act.

[6] Section 3(2) of the Aadhaar Act.

[7] Section 41 of the Aadhaar Act.

[8] Section 8(3) of the Aadhaar Act.

[9] Section 41 of the Aadhaar Act.

[10] Section 6 of the Aadhaar Act.

[11] Section 28, proviso of the Aadhaar Act.

[12] Core biometric information is defined as fingerprints, iris scan or other biological attributes which may be specified by regulations.

[13] Section 31 of the Aadhaar Act.

[14] Section 32(2) of the Aadhaar Act.

[15] Section 8(4) of the Aadhaar Act.

[16] Section 10 of the Aadhaar Act.

[17] Section 29(1) of the Aadhaar Act.

[18] Section 29(2) of the Aadhaar Act.

[19] Section 29(3)(b) of the Aadhaar Act.

[20] Section 29(4) of the Aadhaar Act.

[21] Section 28(5) of the Aadhaar Act.

[22] Section 33(1) of the Aadhaar Act.

[23] Section 33(2) of the Aadhaar Act.

[24] Section 37 of the Aadhaar Act.

[25] Section 38(a) of the Aadhaar Act.

[26] Section 38(b) of the Aadhaar Act.

[27] Section 8(2)(a) and (c) of the Aadhaar Act.

[28] For example, see: http://www.karnataka.gov.in/aadhaar/Downloads /Application%20form%20-%20English.pdf.

[29] Section 8(2)(b) of the Aadhaar Act.

[30] Section 29(3)(a) of the Aadhaar Act.

[31] Section 37 of the Aadhaar Act.

[32] Section 28(1), (2) and (3) of the Aadhaar Act.

[33] Section 28(4)(a) and (b) of the Aadhaar Act.

[34] Section 28(4)(c) of the Aadhaar Act.

[35] Section 30 of the Aadhaar Act.

[36] Section 38(c) of the Aadhaar Act.

[37] Section 38(d) of the Aadhaar Act.

[38] Section 38(e) of the Aadhaar Act.

[39] Section 38(f) of the Aadhaar Act.

[40] Section 38(h) of the Aadhaar Act.

[41] Section 38(i) of the Aadhaar Act.

[42] Section 39 of the Aadhaar Act.

[43] Section 23(2)(l) of the Aadhaar Act.

[44] Section 23(2)(s) of the Aadhaar Act.

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