Centre for Internet and Society

Spending too much time on social media? Tech abuse may lead to mental health issues

Admin — 2018-10-18T00:55:46Z

Technology is a boon, no doubt. But where can we, in ourdigital lives, draw the line between convenience and addiction? ET’s Divya J Shekhar finds out how the IT city is dealing with internet addiction and how collective social effort might help find the sweet spot.

The article by Divya Shekhar was published in Economic Times on October 13, 2018. Sunil Abraham was quoted.

Fifty-odd residents in Hebbal switched off all their digital devices between 7 and 9 pm two days ago on World Mental Health Day. This Saturday, they will join other members in their 1,200-strong group to plug out once again. They plan to make this a weekly ritual.

At the centre of this initiative, which is called 'Time Out from Plugins', is a mother who started researching on technology addiction after observing her 16-year-old son play online games for long hours. Tejaswi Uthappa, a freelance writer, said that her otherwise wellbehaved son becoming irritable and snappy after being glued to the gaming console for hours got her thinking about the ill-effects of letting technology take over our lives.

Types of Technology Addiction

“As parents, we might casually complain about our children spending most of their time on television, digital games or laptops. But this is actually far more serious because it impacts their brain, and eventually, their behaviour,” said Uthappa, who now wants to reach out to schools and colleges to help create awareness about technology-addiction among youngsters.

An increasing number of Bengalureans are getting addicted to technology. Just last week, a 26-year-old checked in to the National Institute of Mental Health and Neurosciences (Nimhans) to seek treatment as he had watched Netflix for over seven hours a day for the past six months in order to escape the reality of his unemployment. From excessive PUBG (online game) and social media overdose to need for virtual validation and incessant online shopping, psychiatrists are treating a gamut of technology addictions.

How Much is Too Much?

According to experts at Nimhans, eight out of 10 technology addiction cases are related to online gaming. This is in line with a 2013 survey conducted by the Indian Council for Medical Research in Bengaluru, which revealed that 4.1% people in the IT city between 18 and 60 years of age were addicted to their mobile phones, while 1.3% were internet addicts. This number might have increased with the Telecom Regulatory Authority of India (Trai) stating that as on March 2018, there were 1.18 billion wireless subscribers and 493 million internet or broadband subscribers in the country.

Manoj Kumar Sharma, a clinical psychologist at the Service for Healthy Use of Technology (SHUT) Clinic at Nimhans, said that he caters to almost six-seven patients every week, up from two-three people who checked into the clinic when it launched in 2014. “It goes to show that people are conscious and are actively taking action to correct their addictive tendencies,” he said. Most people between ages 16 and 20 are addicted to social media, Sharma explained, tend to develop body image issues if their online activity or post does not garner enough attention or ‘likes’. This need for validation from virtual friends to make up for their lonely reality is also directly proportional to the number of cosmetic surgeries.

IT City's Tech Addiction

For those between 24 and 28 years of age, the addiction is usually in the form of pornography or online streaming platforms like Netflix. Experts have also coined the term ‘online infidelity’ to describe a condition where adults satisfy themselves using online platforms rather than through physical intimacy with their respective partners.

“There is a bidirectional relationship between depression and use of technology. The latter can be used as a coping mechanism for stress and anxiety. Conversely, technology abuse can also intensify depression,” said Sharma.

Medical professionals state that ideally, an individual’s daily social media consumption should be broken down to brief 20 minute sessions. “When a digital screen is the last thing you look at before going to sleep, it messes with your hormones. For instance, the heart and pulse rate increase, blood pressure for those with hypertension tends to increase and the body’s response to diabetes medication will vary,” said consulting physician and cardiologist Dr B Ramana Rao.

Increased exposure to technology, he explained, affects eyesight, causes mood alterations, and makes individuals angry and irritable. There are four main criteria, experts said, through which addiction can be determined: if use of technology affects your sleep, productivity, interpersonal relationships and makes you isolate yourself from social activities.

Open Communication

Parents, counsellors, schools and colleges are recognising the need to work together to find solutions and disconnect those vulnerable to internet overuse. Mansoor Ali Khan, member, board of management, Delhi Public School, said that while schools are often considered “uncool” if they do not use technology in classrooms, it is necessary to understand that sometimes, simple, conventional learning works best.

“Children who have been handed iPads and smartphones when they are as young as three years old, have lower concentration levels and learning capability. Moreover, the conversations they have with friends also restricted to TV shows and games,” he said.

Do you have Nomophobia?

The school plans to increase cyber literacy and make the discourse around technology addiction more transparent. Sharma of SHUT Clinic, who launched a Digital Detox app earlier this year, is now developing an intervention module that he wants to take to schools and colleges. This, he said, will help academicians study how to control use of technology as a coping mechanism for peer pressure, boredom and stress. It would also help, he
added, if parents and elders are less judgmental about those needing help.

Sunil Abraham, executive director, The Centre for Internet and Society, told ET that parents must understand the concept of introducing incremental screen time to avoid addiction. This means, children between ages 1 and 3 must have zero screen time, those between 3 and 9 must have one hour of screen time every day, while adolescents between 9 and 15 years of age can access internet only for two hours daily.

“Parents todayccessed by children need to be kept in common areas like the living room,” said Abraham, stressing that parents should never use gadgets to distract children or keep them busy.

Tejaswi Uthappa agrees. According to her, open lines of communication about internet usage and cyberspace helps people seek help. “Our initiative, for instance, started with just me. But now, there are over a thousand adults — parents, working professionals or homemakers - who come on-board the moment they hear that we combat internet addiction. Only our intent and not our method, matters to them,” she said. “So it is a question of stakeholders acknowledging that this as a problem and coming together to find ways to solve it.”

For more details visit https://cis-india.org/internet-governance/news/economic-times-divya-shekhar-october-13-2018-spending-too-much-time-on-social-media

Sting job by Hyderabad scientist exposes fake journals

Admin — 2018-10-17T02:06:21Z

Scientists have at last found a cure for Schlodomoniasis -- a deadly brain infection caused by the "inter-galactic parasite Klaousmodium cruzi" -- they claim to have identified for the first time.

The article was published in Business Standard on October 11, 2018. Subbiah Arunachalam was quoted.

Beth Smith and co-workers at "Sanchez Institute for Biomedical Sciences for Doopidoo Research" in Morocco have published their discovery in three science journals and also reported a novel method called "Magnetic Oddities Radiation Therapy (MORTY)" to treat the infection. The study was carried out in "Wakandan population".

If readers are breaking their heads to understand the startling findings and decipher the strange words like "Wakandan" and "Doopidoo", Farooq Ali Khan, a college professor and PhD student in Hyderabad and a co-author of the paper, had the last laugh.

"It was not intended to be a scientific paper," he told this correspondent in an email. "It was my sting operation to expose publishers of predatory journals who are churning out fake science for profit."

Open access journals are supposed to provide an online platform for rapid dissemination of latest updates in science and technology. Their publishers don't charge the readers as access to these journals is free, but they charge the authors wanting to have their research papers published in these journals.

Inspired by previous publishing "stings", Khan wanted to test whether open access journals would publish an obviously absurd paper liberally salted with nonsense for the sake of money from gullible authors anxious to publish.

He created a spoof manuscript titled "Newer Tools to Fight Inter-Galactic Parasites and their Transmissibility in Zygirion Simulation", and submitted it to several suspect journals from the list kept online by Jeffrey Beall -- an associate professor and librarian at the University of Colorado who coined the term "predatory journal" -- as a public service to his colleagues.

All the hilarious fake names like "schleem", "dinglebop" and "schwitinization", that do not make any sense, as well as images and graphs published in the paper, were fabricated.

The "Zyrgion simulation", and "intergalactic parasites" are all references to "Rick and Morty" -- a US Cartoon Network's animated science fiction programme about the misadventures of mad scientist Rick Sanchez and his grandson Morty Smith.

Khan, a great fan of "Rick and Morty", submitted the paper with Beth Smith (Rick's granddaughter in the cartoon show) as the corresponding author and himself as co-author. Two other authors' names were made-up, and Sukant Khurana -- a scientist at Central Drug Research Institute in Lucknow, who offered to help Khan in this sting, was another author -- all affiliated to an institution in Morocco that does not exist.

The so-called "Magnetic Oddities Radiation Therapy" developed by the authors to treat the brain infection is again nothing but an expansion of "MORTY", a character in the cartoon show.

Anyone with commonsense would have noticed all the nonsense and consigned the paper to trash, but Khan surprisingly found it was accepted for publication by 10 journals for fees ranging from $75 to $650.

After some bargaining over fees, three scientific journals -- ARC Journal of Pharmaceutical Sciences, IOSR Journal of Pharmacy and Biological Sciences, and Clinical Biotechnology and Microbiology -- published the paper without a second glance.

Khan says his "scientific prank" was intended to expose the seriousness of predatory journal industry and to create awareness among people who are beginning their careers in science. "These predatory journals are polluting the scientific record with junk science and are also resulting in fake news."

"When the Open Access Declaration was drafted in 2002, no one would have imagined that many unscrupulous individuals would pollute the entire system of scholarly communication with predatory journals solely with the idea of making money," Subbiah Arunachalam, renowned information scientist and Distinguished Fellow of the Centre for Internet and Society in Bengaluru, told this correspondent in an email.

"Unfortunately, many Indians -- both individuals and companies -- are in this business," he said. "Predatory journals pose a big threat to the integrity of research."

"These are shameful acts by greedy publishers," Subhash Lakhotia, a professor of zoology at the Benaras Hindu University, told this correspondent in an email. "Until we stop payments of all kinds of open access charges and modify the present faulty assessment system that relies on numbers of publications, predation in one or the other form would continue."

For more details visit https://cis-india.org/openness/news/business-standard-ians-october-11-2018-sting-job-by-hyderabad-scientist-exposes-fake-journals

Why Data Localisation Might Lead To Unchecked Surveillance

pranesh — 2018-10-16T14:08:34Z

In recent times, there has been a rash of policies and regulations that propose that the data that Indian entities handle be physically stored on servers in India, in some cases exclusively. In other cases, only a copy needs to be stored.

The article was published in Bloomberg Quint on October 15, 2018 and also mirrored in the Quint.

In April 2018, the Reserve Bank of India put out a circular requiring that all “data relating to payment systems operated by them are stored in a system only in India” within six months. Lesser requirements have been imposed on all Indian companies’ accounting data since 2014 (the back-up of the books of account and other books that are stored electronically must be stored in India, the broadcasting sector under the Foreign Direct Investment policy, must locally store subscriber information, and the telecom sector under the Unified Access licence, may not transfer their subscriber data outside India).

The draft e-commerce policy has a wide-ranging requirement of exclusive local storage for “community data collected by Internet of Things devices in public space” and “data generated by users in India from various sources including e-commerce platforms, social media, search engines, etc.”, as does the draft e-pharmacy regulations, which stipulate that “the data generated” by e-pharmacy portals be stored only locally.

While companies such as Airtel, Reliance, PhonePe (majority-owned by Walmart) and Alibaba, have spoken up in support the government’s data localisation efforts, others like Facebook, Amazon, Microsoft, and Mastercard have led the way in opposing it.

Just this week, two U.S. Senators wrote to the Prime Minister’s office arguing that the RBI’s data localisation regulations along with the proposals in the draft e-commerce and cloud computing policies are “key trade barriers”. In her dissenting note to the Srikrishna Committee's report, Rama Vedashree of the Data Security Council of India notes that, “mandating localisation may potentially become a trade barrier and the key markets for the industry could mandate similar barriers on data flow to India, which could disrupt the IT-BPM (information technology-business process management) industry.”

Justification For Data Localisation

What are the reasons for these moves towards data localisation?

Given the opacity of policymaking in India, many of the policies and regulations provide no justification at all. Even the ones that do, don’t provide cogent reasoning.

The RBI says it needs “unfettered supervisory access” and hence needs data to be stored in India. However, it fails to state why such unfettered access is not possible for data stored outside of India.

As long as an entity can be compelled by Indian laws to engage in local data storage, that same entity can also be compelled by that same law to provide access to their non-local data, which would be just as effective.

What if they don’t provide such access? Would they be blacklisted from operating in India, just as they would if they didn’t engage in local data storage? Is there any investigatory benefit to storing data in India? As any data forensic expert would note, chain of custody and data integrity are what are most important components of data handling in fraud investigation, and not physical access to hard drives. It would be difficult for the government to say that it will block all Google services if the company doesn’t provide all the data that Indian law enforcement agencies request from it. However, it would be facile for the RBI to bar Google Pay from operating in India if Google doesn’t provide it “unfettered supervisory access” to data.

The most exhaustive justification of data localisation in any official Indian policy document is that contained in the Srikrishna Committee’s report on data protection. The report argues that there are several benefits to data localisation:

Effective enforcement,
Avoiding reliance on undersea cables,
Avoiding foreign surveillance on data stored outside India,
Building an “Artificial Intelligence ecosystem”

Of these, the last three reasons are risible.

Not A Barrier To Surveillance

Requiring mirroring of personal data on Indian servers will not magically give rise to experts skilled in statistics, machine learning, or artificial intelligence, nor will it somehow lead to the development of the infrastructure needed for AI.

The United States and China are both global leaders in AI, yet no one would argue that China’s data localisation policies have helped it or that America’s lack of data localisation polices have hampered it.

On the question of foreign surveillance, data mirroring will not have any impact, since the Srikrishna Committee’s recommendation would not prevent companies from storing most personal data outside of India.

Even for “sensitive personal data” and for “critical personal data”, which may be required to be stored in India alone, such measures are unlikely to prevent agencies like the U.S. National Security Agency or the United Kingdom’s Government Communications Headquarters from being able to indulge in extraterritorial surveillance.

In 2013, slides from an NSA presentation that were leaked by Edward Snowden showed that the NSA’s “BOUNDLESSINFORMANT” programme collected 12.6 billion instances of telephony and Internet metadata (for instance, which websites you visited and who all you called) from India in just one month, making India one of the top 5 targets.

This shows that technically, surveillance in India is not a challenge for the NSA.

So, forcing data mirroring enhances Indian domestic intelligence agencies’ abilities to engage in surveillance, without doing much to diminish the abilities of skilled foreign intelligence agencies.

As I have noted in the past, the technological solution to reducing mass surveillance is to use decentralised and federated services with built-in encryption, using open standards and open source software.

Reducing reliance on undersea cables is, just like reducing foreign surveillance on Indians’ data, a laudable goal. However, a mandate of mirroring personal data in India, which is what the draft Data Protection Bill proposes for all non-sensitive personal data, will not help. Data will stay within India if the processing happens within India. However, if the processing happens outside of India, as is often the case, then undersea cables will still need to be relied upon.

The better way to keep data within India is to incentivise the creation of data centres and working towards reducing the cost of internet interconnection by encouraging more peering among Internet connectivity providers.

While data mirroring will not help in improving the enforcement of any data protection or privacy law, it will aid Indian law enforcement agencies in gaining easier access to personal data.

The MLAT Route

Currently, many forms of law enforcement agency requests for data have to go through onerous channels called ‘mutual legal assistance treaties’. These MLAT requests take time and are ill-suited to the needs of modern criminal investigations. However, the U.S., recognising this, passed a law called the CLOUD Act in March 2018. While the CLOUD Act compels companies like Google and Amazon, which have data stored in Indian data centres, to provide that data upon receiving legal requests from U.S. law enforcement agencies, it also enables easier access to foreign law enforcement agencies to data stored in the U.S. as long as they fulfill certain procedural and rule-of-law checks.

While the Srikrishna Committee does acknowledge the CLOUD Act in a footnote, it doesn’t analyse its impact, doesn’t provide suggestions on how India can do this, and only outlines the negative consequences of MLATs.

Further, it is inconceivable that the millions of foreign services that Indians access and provide their personal data to will suddenly find a data centre in India and will start keeping such personal data in India. Instead, a much likelier outcome, one which the Srikrishna Committee doesn’t even examine, is that many smaller web services may find such requirements too onerous and opt to block users from India, similar to the way that Indiatimes and the Los Angeles Times opted to block all readers from the European Union due to the coming into force of the new data protection law.

The government could be spending its political will on finding solutions to the law enforcement agency data access question, and negotiating solutions at the international level, especially with the U.S. government. However it is not doing so.

Given this, the recent spate of data localisation policies and regulation can only be seen as part of an attempt to increase the scope and ease of the Indian government’s surveillance activities, while India’s privacy laws still remain very weak and offer inadequate legal protection against privacy-violating surveillance. Because of this, we should be wary of such requirements, as well as of the companies that are vocal in embracing data localisation.

For more details visit https://cis-india.org/internet-governance/blog/bloomberg-quint-pranesh-prakash-october-15-2018-why-data-localisation-might-lead-to-unchecked-surveillance

September 2018 Newsletter

praskrishna — 2018-10-16T06:28:42Z

Dear readers,

Previous issues of the newsletters can be accessed here.

Highlights

Wikisource is one of the trending Wikimedia projects. Many new editors and new books to Indic language Wikisource's get added over a period of time. However, new editors as well as existing editors face numerous problems while working with the content online. The Centre for Internet & Society's Access to Knowledge (CIS-A2K) team, to help the editors, has created a Wikisource Handbook for Indian communities. CIS invites feedback to the first draft of this Handbook.
Centre for Internet & Society (CIS) participated in the 5th Global Congress on IP and Public Interest held in Washington in a big way. CIS signed on as a supporting member to the Civil Society Proposal for a Treaty on Education and Research Activities.
Sunil Abraham, in an article in the Hindustan Times, explores what leads to fake news. He has revealed that transparency regulations is the need of the hour especially for election campaigns and political advertising.
Amber Sinha, Elonnai Hickok, Udbhav Tiwari and Arindrajit Basu co-authored a blog post which examines cross-border data sharing. The authors have argued that conventional methods of compelling the presentation of evidence available for investigative agencies often fail when the evidence is not present within the territorial boundaries of the state.
Arindrajit Basu and Elonnai Hickok wrote a blog entry on usage of artificial intelligence in governance sector in India. As per research though artificial intelligence has the potential to ameliorate structural inefficiencies in governmental functions, the deployment of this technology across sub-sectors is still on the horizons.
Amber Sinha, Elonnai Hickok and Arindrajit Basu produced a research paper on the implications of artificial intelligence in India in various sectors such as health, banking, manufacturing, and governance sectors.
Artificial Intelligence in many ways is in direct conflict with traditional data protection principles and requirements including consent, purpose limitation, data minimization, retention and deletion, accountability, and transparency. Authors Elonnai Hickok and Amber Sinha have explained this in a blog entry.
The researchers@work programme has selected 10 essays, based on an open call announced in August, engaging with the thematic of "offline". The abstracts of the selected essays have been published, and the final essays will be published on the upcoming r@w blog.

Articles

India’s post-truth society (Swaraj Paul Barooah; Hindu Businessline; September 7, 2018).
Digital Native: #MemeToo (Nishant Shah; Indian Express; September 9, 2018).
The Right Words for Love (Nishant Shah; Indian Express; September 23, 2018).
A trust deficit between advertisers and publishers is leading to fake news (Sunil Abraham; Hindustan Times; September 30, 2018).
Digital Native: Hardly Friends Like That (Nishant Shah; Indian Express; September 30, 2018).

CIS in the News

Can this curb your addiction? (Surupasree Sarmmah; Deccan Herald; September 5, 2018).
'Why should we talk to Dunzo?' State regulators fume at liquor delivery (Aroon Deep; Medianama; September 7, 2018).
#NAMAprivacy: Data Protection Authority's regulatory and enforcement challenges (Rana; Medianama; September 9, 2018).
'What Security Breach?' The Unchanging Tone of UIDAI's Denials (Karan Saini; The Wire; September 12, 2018).
Haryana Cops Say Internet Shutdowns Hurt Police Operations (Gopal Sathe; Huffington Post; September 19, 2018).
Find ways to trace origin of messages: Government to WhatsApp (Surabhi Aggarwal; Economic Times; September 20, 2018).
Net nanny meets muscular law (Laxmi Murthy; Himal South Asian; September 26, 2018).
After Supreme Court Setback, Fintech Firms Await Clarity On Aadhaar (Nishant Sharma; Bloomberg Quint; September 27, 2018).

Access to Knowledge

Our Access to Knowledge programme currently consists of two projects. The Pervasive Technologies project, conducted under a grant from the International Development Research Centre (IDRC), aims to conduct research on the complex interplay between low-cost pervasive technologies and intellectual property, in order to encourage the proliferation and development of such technologies as a social good. The Wikipedia project, which is under a grant from the Wikimedia Foundation, is for the growth of Indic language communities and projects by designing community collaborations and partnerships that recruit and cultivate new editors and explore innovative approaches to building projects.

Copyright and Patent

Participation in Event

5th Global Congress on IP and the Public Interest (Organized by PublicCitizen, Washington College of Law, American University, O'Neill Institute and the American Assembly, Columbia University; Washington D.C.; September 24 - 29, 2018). Sunil Abraham, Anubha Sinha and Swaraj Paul Barooah were panelists at the event.

Wikipedia

Publication

Wikisource Handbook for Indian Communities (Bodhisattwa Mandal and Ananth Subray P. V.; September 19, 2018).

Blog Entry

Christ (DU) students enrolls for 3rd Wikipedia certificate course (Ananth Subray; September 23, 2018).

Events Organized

Copyright Workshop (CIS; New Delhi; September 1 - 2, 2018).
Meeting on Digitization and Content Donation (Bhandarkar Oriental Research Institute; Pune; September 6, 2018).
Orientation session on Sanskrit Wikipedia (Tilak Maharashtra Vidyapeeth; Pune; September 6, 2018).
Workshop on FOSS, Unicode & Wikimedia Projects for Publishers, Printers, Designers and Writers (Fergusson College; Pune; September 7, 2018).
Workshop in MKCL regarding Vanbodh Project with TRTI (Maharashtra Knowledge Corporation Limited; Mumbai; September 11, 2018).

Internet Governance

As part of its research on privacy and free speech, CIS is engaged with two different projects. The first one (under a grant from Privacy International and IDRC) is on surveillance and freedom of expression (SAFEGUARDS). The second one (under a grant from MacArthur Foundation) is on restrictions that the Indian government has placed on freedom of expression online.

Privacy

Research Papers

The Srikrishna Committee Data Protection Bill and Artificial Intelligence in India (Amber Sinha and Elonnai Hickok; September 3, 2018).
AI in India: A Policy Agenda (Amber Sinha, Elonnai Hickok and Arindrajit Basu; September 5, 2018).
Artificial Intelligence in the Governance Sector in India (Arindrajit Basu and Elonnai Hickok; edited by Amber Sinha, Pranav MB and Vishnu Ramachandran; ecosystem mapping by Shweta Mohandas and Anamika Kundu; September 14, 2018).
Cross-Border Data Sharing and India: A study in Processes, Content and Capacity (Amber Sinha, Elonnai Hickok, Udbhav Tiwari and Arindrajit Basu; September 27, 2018).

Participation in Events

Online Cogitatum on AI and Ethics in India (Organized by Takshashila; Takshashila Institution; August 27, 2018). Elonnai Hickok participated in the event.
Conference on Data Protection (Organized by National Institute of Public Finance and Policy; New Delhi; September 4, 2018). Sunil Abraham and Amber Sinha were discussant in the session Disclosures in Privacy Policies: Does Consent Work?
Symposium on Data Privacy and Citizen's Rights (Organized by Tech Law Forum of NALSAR University of Law; Hyderabad; September 9, 2018).
Gender and Privacy: Countering the Patriarchal Gaze (Organized by Privacy International; United Kingdom; September 13 - 14, 2018).
Meeting of Information Systems Security and Biometrics Sectional Committee (Organized by Bureau of Indian Standards; New Delhi; September 14, 2018).
Forecasting the Implications of the CLOUD Act Around the World (Organized by Global Network Initiative; Russell Senate Office Building, Washington D.C.; September 18, 2018). Elonnai Hickok was a speaker.
Networked Economies and Gender Action Learning (Organized by IDRC and facilitated by Gender at Work; Ottawa; September 20 - 21, 2018). Elonnai Hickok, Sunil Abraham and Ambika Tandon participated in the meeting. Sunil Abraham, Swaraj Paul Barooah and Ambika Tandon also attended a workshop on Gender Action Learning on September 24 - 25, 2018, which discussed strategies to work on gender under a grant for Cyber Policy Centres.
Round Table Discussion on Personal Data Protection Bill (Organized by SFLC; Bengaluru; September 25, 2018). Shweta Mohandas participated in the event and moderated the first session on Data Protection Principles (Rights and Obligations).

Cyber Security

Event Organized

Symposium on India’s Cyber Strategy (India Habitat Centre, New Delhi; August 31, 2018).

Participation in Event

Cyber-Security in the Age of Smart Manufacturing (Organized by Federation of Indian Chamber of Commerce & industry (FICCI) in association with Karnataka Innovation and Technology Society, and Government of Karnataka; The Lalit Ashok, Bengaluru; September 26, 2018). Arindrajit Basu attended the event.

researchers@work

The researchers@Work (r@w) programme is an interdisciplinary research initiative driven by an emerging need to understand the reconfigurations of social practices and structures through the Internet and digital media technologies, and vice versa.

Blog Entry

Essays on 'Offline' - Selected Abstracts (P.P. Sneha; September 6, 2018).
Digital Native: #MemeToo (Nishant Shah; Indian Express; September 9, 2018).
The Right Words for Love (Nishant Shah; Indian Express; September 23, 2018).
Digital Native: Hardly Friends Like That (Nishant Shah; Indian Express; September 30, 2018).

Participation in Event

Plenary Talk at Jyothi Nivas College Research Symposium (Organized by Jyoti Nivas College; Bangalore; September 28, 2018). P.P. Sneha made a presentation on presentation on new reading and writing practices in the digital context.

About CIS

The Centre for Internet and Society (CIS) is a non-profit organisation that undertakes interdisciplinary research on internet and digital technologies from policy and academic perspectives. The areas of focus include digital accessibility for persons with disabilities, access to knowledge, intellectual property rights, openness (including open data, free and open source software, open standards, open access, open educational resources, and open video), internet governance, telecommunication reform, digital privacy, and cyber-security. The academic research at CIS seeks to understand the reconfigurations of social and cultural processes and structures as mediated through the internet and digital media technologies.

► Follow us elsewhere

Twitter: http://twitter.com/cis_india
Twitter - Access to Knowledge: https://twitter.com/CISA2K
Twitter - Information Policy: https://twitter.com/CIS_InfoPolicy
Facebook - Access to Knowledge: https://www.facebook.com/cisa2k
E-Mail - Access to Knowledge: a2k@cis-india.org
E-Mail - Researchers at Work: raw@cis-india.org
List - Researchers at Work: https://lists.ghserv.net/mailman/listinfo/researchers

► Support Us

Please help us defend consumer and citizen rights on the Internet! Write a cheque in favour of 'The Centre for Internet and Society' and mail it to us at No. 194, 2nd 'C' Cross, Domlur, 2nd Stage, Bengaluru - 5600 71.

► Request for Collaboration

We invite researchers, practitioners, artists, and theoreticians, both organisationally and as individuals, to engage with us on topics related internet and society, and improve our collective understanding of this field. To discuss such possibilities, please write to Sunil Abraham, Executive Director, at sunil@cis-india.org (for policy research), or Sumandro Chattapadhyay, Research Director, at sumandro@cis-india.org (for academic research), with an indication of the form and the content of the collaboration you might be interested in. To discuss collaborations on Indic language Wikipedia projects, write to Tanveer Hasan, Programme Officer, at tanveer@cis-india.org.

CIS is grateful to its primary donor the Kusuma Trust founded by Anurag Dikshit and Soma Pujari, philanthropists of Indian origin for its core funding and support for most of its projects. CIS is also grateful to its other donors, Wikimedia Foundation, Ford Foundation, Privacy International, UK, Hans Foundation, MacArthur Foundation, and IDRC for funding its various projects.

For more details visit https://cis-india.org/about/newsletters/september-2018-newsletter

Call for Position - Programme Officer (Communication) - Access to Knowledge

tito — 2018-11-02T09:37:09Z

We are inviting applications for the position of a Programme Officer (Communication) to join the Access to Knowledge (CIS-A2K) team at the Centre for Internet and Society. Please find below the description of the position, the eligibility criteria, and the application process.

To contribute to, support, and lead public communication of the work of the CIS-A2K team, we are looking for a creative, dedicated, and enterprising individual to join the team as Programme Officer (Communications). Please note that women and trans candidates, especially those from socio-economically marginalised communities, and women who are returning to work after a hiatus will be given preference.

Project Background

Responsibilities

Competencies

Required Skills and Experience

Desirable Skills and Experience

Location and Remuneration

Application Process

Project Background

The CIS-A2K team is supported by Wikimedia Foundation to work towards catalysing the growth of the open knowledge movement in south Asia and in Indian languages. The current work plan (2018-19) of the CIS-A2K team is focused on working towards creating an inclusive Wiki atmosphere in India, with emphasis on creating safe spaces, and promoting activities to bridge gender gap in Wiki projects across languages. Further, CIS-A2K facilitates exchange and incubation of ideas amongst Indian language Wikimedia communities, which contributes to the growth of these community and enables emergence of community leaders. During the current year, the A2K team is investing resources and energy on 4 programs/ideas that we believe are going to be 'triggers of change': 1) Focus Project Area, 2) MediaWiki Training, 3) Bridging Gender Gap, and 4) Wikisource Conference India. Please find a detailed description of our proposed activities during 2018-19 on our Meta-Wiki page.

Responsibilities

The CIS-A2K team is primarily based in the Bangalore office of CIS, and the Programme Officer (Communication), henceforth POC, will be expected to work out of the same office. Members of this team are also based in Bhubaneswar (Odisha), Hyderabad (Telangana), and Sangli (Maharashtra), and the POC will be expected to work closely with them - generally remotely, and sometimes by travelling to these locations

To support and drive outreach of the work being done by the CIS-A2K team, the POC will be responsible for the following tasks:

Public communication (60% of monthly work): POC will be responsible for the overall public-facing communication of the work and activities of the CIS-A2K team. This includes planning, driving, and carrying out multi-media documentation of ongoing activities of the team; announcement of programmatic activities in terms of authoring press releases, opinion pieces, short updates, and social media posts, including helping CIS-A2K team members with doing the same; co-authoring and editing the major reports prepared by the team, primarily for submission to Wikimedia Foundation; managing and posting on the Twitter account of the CIS-A2K team; and preparing and publishing a monthly newsletter to share the work of Indian Wikimedia communities and the CIS-A2K team. The CIS-A2K team usually conducts 4 events each month on average.
Innovative media projects (25% of monthly work): POC may explore widely from conventional to new media forms to create original stories of experiences, challenges, and learnings of members of Indian Wikimedia communities in general, and communities engaged with by the CIS-A2K team in particular. This may include storytelling in the form of interviews, blogs, audio and video productions including those native to social media platforms, with a focus on producing content in multiple Indian languages, often with support from CIS-A2K team and members of Wikimedia communities. The focus of these media projects will be on the stories of the volunteers who edit and contribute to Indian language Wikimedia projects, as well as gaps and futures thereof. This task includes interviewing Indian Wikimedians under the ambit of the WikipediansSpeak project.
Liasoning and training (15% of monthly work): POC will function as an interface between A2K team and the Indian (and global) Wikimedia communities as the first point of contact for incoming communications, and inform the CIS-A2K about requests and concerns shared by members of these communities. POC may also be invited to provide training on effective communications for members of Indian Wikimedia communities, as needed, and to support them to independently tell their own stories in their languages.

Competencies

Core Competencies

Accountability
Awareness and sensitivity regarding issues of gender and sexuality
Critical appreciation of open knowledge initiatives
Effective communication
Inclusive collaboration
Intellectual curiosity and openness
Respect for diversity
Strong cross-cultural competency

Functional Competencies

Ability to learn-at-work, especially about the Wikimedia ecosystem
Highly organised, motivated, and able to take initiative
Experience of managing public communications and outreach, including managing mailing lists and social media accounts
Experience of producing multimedia content, including writing and web-based content

Required Skills and Experience

Languages

Excellent communication skills (written and oral) in English
Working knowledge (or better) of at least one other Indian language

Professional

Two years of working experience in an Indian/global organisation with diverse members, and in a position that involved managing communication and producing text and media content

Technical

Basic understanding of functioning of Wikipedia, and ideally of other Wikimedia projects too
Basic ability to produce audio/video content, including recording and editing

Desirable Skills and Experience

Active user of free and open source software
Experience of actively contributing to Wikimedia projects, including Wikipedia and others
Experience of being a member of an Indian Wikimedia community, or taking part in Wikimedia-related events
Experience of being part of a free and open source software / open knowledge community

Location and Remuneration

The position is based out of the Bangalore office of CIS.

Monthly remuneration for the position will be Rs. 40,000-45,000 (including taxes) based on the level of experience and previous salary.

Application Process

We invite interested (and eligible) candidates to apply for the position by sending us the following documents to tito@cis-india.org, with “Application for Programme Officer (Communication)” as the subject, by Sunday, October 28, 2018:

Cover letter (2 pages): This should introduce your relevant academic, professional, and other experiences, and describe the kind of work you look forward to do as part of the CIS-A2K team. We strongly recommend reading the 2018-19 work plan of the CIS-A2K team while writing this cover letter, as well as for preparation for the interview to follow (if you are shortlisted for interview).
CV: This should provide details of your academic, professional, and other achievements
Work samples: The position will require you to produce effective writing outputs in a regular manner. Please share 2 samples of your writing (published or unpublished). In case you have produced media works (photographs, audio/video interviews, short films, etc.), please share 1 or 2 samples of the same. While sharing media works, please share the URL to the same and not the actual files.

We will prepare a short list of candidates, on the basis of the submitted applications, and inform you of our selection decision by Friday, November 02.

The shortlisted candidates will be interviewed by the CIS team, including members of the CIS-A2K team. If needed, there will be two rounds of interview.

We will take the final hiring decision by early November, inform the shortlisted candidates accordingly, and invite the selected person to join our from December 1, 2018.

Please do not hesitate to write to us at tito@cis-india.org for any clarification regarding this.

For more details visit https://cis-india.org/jobs/call-for-position-programme-officer-communication-a2k-2018

After Supreme Court Setback, Fintech Firms Await Clarity On Aadhaar

Admin — 2018-10-01T23:39:42Z

The 12-digit Aadhaar number is now out of bounds for fintech companies in India.

The article by Nishant Sharma was published in Bloomberg Quint on September 27, 2018. Pranesh Prakash was quoted.

Video

With the Supreme Court on Wednesday terming Aadhaar authentication by private companies as “unconstitutional”, companies such as online wallets and e-tailers, among others, will now have to make changes to how they onboard and verify customers, in addition to how they transact.

In a 567-page majority judgment authored by Justice Sikri and concurred upon by two other judges—Chief Justice Dipak Misra and Justice AM Khanwilkar—it said that Section 57 of the Aadhaar Act, which allows private companies to use Aadhaar for authentication services based on a contract between the corporate and an individual, would enable commercial exploitation of private data and hence is unconstitutional.

“What it essentially means is that the private bodies, such as lending platforms, wallets, or any private entity, cannot use Aadhaar for authentication,” said Anirudh Rastogi founder at Ikigai Law (formerly TRA), a law firm that specialises in representing businesses on data privacy.

The decision is set to impact private companies right from Flipkart-owned PhonePe, Paytm, Reliance Jio and Amazon, among others, which rely on Aadhaar for e-verification. Amazon recently launched cardless equated monthly installments on Amazon Pay through the digital finance platform Capital Float and asked customers to provide Aadhaar numbers or virtual ID and PAN details on the Amazon app for verification.

'Aadhaar Is Just Another ID'

Pranesh Prakash, fellow, Centre for Internet and Society, said that with this judgment Aadhaar is no longer an identity infrastructure as its creators have dreamt of. “It is now just another ID.”

For those opposed to Aadhaar, on privacy and security grounds, this may be a part victory. But for the Fintech industry it stymies the use of quick Aadhaar-based e-KYC (know your customer norms) to onboard customers. “The fintech industry thrives on the instant paperless mantra, and this move will curb its rapid growth, ” Amrish Rau, co-founder of PayU, said in a text message.

The verdict is also set to push up costs for the industry. Rau said: “Conducting physical KYC would be a costly affair, with every physical KYC costing about Rs 100 per person.”

Companies like PhonePe await more clarity. “We are waiting to hear from bodies like the Reserve Bank of India, UIDAI on what KYC that will be required for wallets moving ahead," Sameer Nigam, cofounder of PhonePe, said. "Whether we go to no KYC, lower limit environment or go to the physical KYC environment."

The judgment also stated that the identification number will not be mandatory for opening bank accounts, mobile-phone connections or for admissions into educational institutions. However, Aadhaar will continue to be mandatory for the distribution of state-sponsored welfare schemes including direct benefit transfers and the public distribution system. Taxpayers will have to link their Permanent Account Numbers to the biometric database.

Aadhaar-Based KYC: Allowed With Consent?

The Supreme Court has concluded that the part of section 57 which enables body corporate and individuals also to seek authentication, that too on the basis of a contract between the individual and such body corporate or person, would impinge upon the right to privacy of such individuals.

Prasanna S, a Supreme Court advocate and lawyer for one of the petitioners in the Aadhaar matter interpreted it to mean that even if a customer voluntarily wants to use Aadhaar for e-KYC, businesses cannot accept it.

They have struck down the part of Section 57 that allows use of Aadhaar based on a contract. A contract, by nature is voluntary, But since the court has struck down this part, even voluntary use won’t be permitted.

Prasanna S, Advocate, Supreme Court

Jaitley Hints At Legal Backing

Meanwhile, Finance Minister Arun Jaitley on Wednesday hinted that the Centre is likely to examine whether separate legal backing is needed for Section 57 of the Aadhaar Act, the newswire PTI reported. “So, let us first read the judgement. There are two-three prohibited areas. Are they because they are totally prohibited or are they because they need legal backing,” Jaitley was quoted as saying.

Rastogi of Ikigai Law said that the court has left open for the government to promulgate a law to enable private parties to use Aadhaar that can withstand judicial scrutiny.

Rahul Matthan, a technology partner at law firm Trilegal differed with this view. He said that since the apex court has ruled that private entities cannot access the Aadhaar infrastructure, it means that even if the government brings a specific law to allow for that, it would be unconstitutional.

Prasanna agreed with this interpretation.

The court has hinted that commercial exploitation of personal information will fail the proportionality test laid down by it in the Right to Privacy judgment. This is one of the grounds for them to conclude that Section 57 is unconstitutional. So even a law is introduced, private access will be impermissible.

Prasanna S, Advocate, Supreme Court

Are Aadhaar-Based KYCs Tainted?

Since the use of Aadhaar by private entities has been struck down, does it mean entities who have used it for KYC so far have to re-do that exercise? And data that was collected as part of Aadhaar-based KYC- does that need to be deleted?

The majority order hasn’t specifically addressed these questions, Matthan pointed out. But went on to explain that his reading of the judgment is that the court wants things to remain as they are.

The Supreme Court has said that collection of data before the Aadhaar Act was introduced is valid. If you follow that sentiment, may be we can argue that there’s no requirement to delete the data.

Rahul Matthan, Partner, Trilegal

Whatever has been done without the authority of law has to go, Prasanna said. But this outcome may not be practical and another hearing before the Supreme Court may be required to clear these questions, he added.

Private entities such as the online cab aggregator Ola have already removed eKYC from its e-wallet when BloombergQuint last checked. Others may follow suit.

For more details visit https://cis-india.org/internet-governance/news/bloomberg-quint-nishant-sharma-september-27-2018-after-sc-setback-fintech-firms-await-clarity-on-aadhaar

Internet Researchers' Conference 2019 (IRC19): List - Call for Sessions

sneha-pp — 2018-11-05T09:15:35Z

Who makes lists? How are lists made? Who can be on a list, and who is missing? What new subjectivities - indicative of different asymmetries of power/knowledge - do list-making, and being listed, engender? What makes lists legitimate information artifacts, and what makes their knowledge contentious? Much debate has emerged about specificities and implications of the list as an information artifact, especially in the case of #LoSHA and NRC - its role in creation and curation of information, in building solidarities and communities of practice, its dependencies on networked media infrastructures, its deployment by hegemonic entities and in turn for countering dominant discourses. For the fourth edition of the Internet Researchers’ Conference (IRC19), we invite sessions that engage critically with the form, imagination, and politics of the *list*.

IRC19: List

For the last several years, #MeToo and #LoSHA have set the course for rousing debates within feminist praxis and contemporary global politics. It also foregrounded the ubiquitous presence of the list in its various forms, not only on the internet but across diverse aspects of media culture. Much debate has emerged about specificities and implications of the list as an information artifact, especially in the case of #LoSHA and NRC - its role in creation and curation of information, in building solidarities and communities of practice, its dependencies on networked media infrastructures, its deployment by hegemonic entities and in turn for countering dominant discourses. Directed by the Supreme Court, the Government of India has initiated the National Register of Citizens process of creating an updated list of all Indian citizens in the state of Assam since 2015. This is a list that sets apart legal citizens from illegal immigrants, based on an extended and multi-phase process of announcement of draft lists and their revisions. NRC is producing a list with a specific question: who is a citizen and who is not? UIDAI has produced a list of unique identification number assigned to individuals: a list to connect/aggregate other lists, a meta-list.

From Mailing Lists to WhatsApp Broadcast Lists, lists have been the very basis of multi-casting capabilities of the early and the recent internets. The list - in terms of list of people receiving a message, list of machines connecting to a router or a tower, list of ‘friends’ and ‘followers’ ‘added’ to your social media persona - structures the open-ended multi-directional information flow possibilities of the internet. It simultaneously engenders networks of connected machines and bodies, topographies of media circulation, and social graphs of affective connections and consumptions. The epistemological, constitutive, and inscriptive functions of the list, as Liam Young documents, have been crucial to the creation of new infrastructures of knowledge, and to understand where the internet emerges as a challenge to these.

As a media format that is easy to create, circulate, and access (as seen in the number of rescue and relief lists that flood the web during national disasters) or one that is essential in classification and cross-referencing (such as public records and memory institutions), the list becomes an essential trope to understand new media forms today, as the skeletal frame on which much digital content and design is structured and consumed through.

Who makes lists?
How are lists made?
Who can be on a list, and who is missing?
Who gets counted on lists, and who is counting?
What new subjectivities - indicative of different asymmetries of power/knowledge - do list-making, and being listed, engender?
What modalities of creation and circulation of lists affords its authority, its simultaneous revelations and obfuscations?
What makes lists legitimate information artifacts, and what makes their knowledge contentious?
What makes lists ephemeral, and what makes their content robust?
What makes lists hegemonic, and what makes them intersectional?
What makes lists ordered, and what makes them unordered?
What do listicles do to habits of reading and creation of knowledge?
What new modes of questioning and meaning-making have manifested today in various practices of list-making?
How and when do lists became digital, and whatever happened to lists on paper?
Are there cultural economies of lists, list-making, and getting listed?
Are lists content or carriage, are they medium or message?

For the fourth edition of the Internet Researchers’ Conference (IRC19), we invite sessions that engage critically with the form, imagination, and politics of the list - to present or propose academic, applied, or creative works that explore its social, economic, cultural, material, political, affective, or aesthetic dimensions.

Call for Sessions

We invite teams of two or more members to propose sessions for IRC19. All sessions will be one and half hours long, and will be fully designed and facilitated by the team concerned, including moderation (if any). Please remember this when planning the session. Everything happening during the session, except for logistical support, will be led and managed by the session team.

The sessions are expected to drive conversations on the topic concerned. They may include presentation of research papers but this is not mandatory.

We look forward to sessions that involve collaborative work (either in groups or otherwise) - discussions, interactions, documentation, learning, and (list-)making are most welcome.

We also look forward to sessions conducted in Indian languages apart from English. The proposing team, in such a case, should consider how participants who do not understand the language concerned may engage with the session. IRC organisers and other participants shall help facilitate these sessions, say by offering translation support.

The only eligibility criteria for proposing sessions are that they must be proposed by a team of at least two members, and that they must engage with the *list*.

The deadline for submission of sessions proposals for IRC19 is Sunday, November 18 (extended).

To propose a session, please send the following documents (as attached text files) to raw@cis-india.org:

Session Title: The session should be named in the form of a hashtag (check the sessions proposed for IRC18 for example).
Session Plan: This should describe the objectives of the session (the motivations and expectations driving it), what will be done and discussed during the session, and who among the people organising the session will be responsible for what. This note need not be more than 500 words long. If your session involves inviting others to present their work (say papers), then please provide a description and timeline of the process through which these people will be identified.
Session Team Details: Please share brief biographical notes of each member of the session team, and their email addresses.

IRC19 will be organised in Hyderabad during January 31 - February 2, 2019. We will announce the venue of the conference in December 2018.

There is no registration fee for the conference, but participants are expected to pay for their own travel and accommodation (to be organised by CIS) expenses. Limited funding will be available to support travel and accommodation expenses of few participants who are unemployed or underemployed.

Session selection process:

November 18, 2018 (extended): Deadline of submission of session proposals. All submitted sessions will be posted on the CIS website, along with the names of the session team members.
November 23 - December 07: Session selection process. All session teams will select 10 sessions to be included in the IRC19 programme. The votes will be anonymous, that is no session team will know which other session teams have voted for their session. The sessions with most votes will be selected for the final programme of IRC19.
December 14: Announcement of selected sessions, and of travel grants available for members of selected session teams.
January 31 - February 2, 2019: IRC19 in Hyderabad!

For more details visit https://cis-india.org/raw/irc19-list-call

MLAT Report

Admin — 2018-09-27T15:53:24Z

For more details visit https://cis-india.org/internet-governance/files/mlat-report

Ethics and AI

Admin — 2018-09-20T16:10:16Z

For more details visit https://cis-india.org/internet-governance/files/ethics-and-ai

Data Protection

Admin — 2018-09-20T14:46:17Z

For more details visit https://cis-india.org/internet-governance/files/data-protection

Wikisource Handbook for Indian Communities

Admin — 2018-09-19T01:52:09Z

For more details visit https://cis-india.org/a2k/files/wikisource-handbook-for-indian-communities

August 2018 Newsletter

praskrishna — 2018-09-16T05:08:39Z

CIS newsletter for the month of August 2018.

Dear readers,

Previous issues of the newsletters can be accessed here.

Highlights

India houses the second largest population in the world at approximately 1.35 billion individuals. In such a diverse and dense context, law enforcement could be a challenging job. Elonnai Hickok and Vipul Kharbanda throw light on the CLOUD Act and its implifications for India in a blog post.
On August 9, 2018, the DNA Technology (Use and Application) Regulation Bill, 2018 was introduced in the Lok Sabha. CIS had commented on some key aspects of the bill in many forums earlier. Elonnai Hickok and Murali Neelakantan in an article published by Bloomberg Quint have voiced their opinion on the bill.
Murali Neelakantan, Swaraj Barooah, Swagam Dasgupta and Torsha Sarkar in an Op-ed in Bloomberg Quint have examined the National Health Stack, an ambitious attempt by the government to to build a digital infrastructure with a “deep understanding of the incentive structures prevalent in the Indian healthcare ecosystem. The authors have argued that collection of health data, without sensitisation and accountability, has the potential to deny healthcare to the vulnerable.
An article titled India's Contribution to Internet Governance Debates, co-authored by Sunil Abraham, Mukta Batra, Geetha Hariharan, Swaraj Barooah and Akriti Bopanna, was published in the NLUD Student Law Journal, an annual peer-reviewed journal published by the National Law University, Delhi.
IT/IT-eS Sector and the Future of Work in India was organized at Omidyar Networks’ office in Bangalore, on June 29, 2018. Torsha Sarkar, Ambika Tandon and Aayush Rath co-authored a report.
Swaraj Barooah and Gurshabad Grover co-authored an article in Livemint that examines a few problematic provisions in the proposed Anti-trafficking Bill. The authors say that it may lead to censorship.
The Researchers at Work programme of CIS had invited abstracts for essays that explore dimensions of offline lives. Selected authors are expected to submit the first draft of the essay (2000-4000 words) by Friday, October 5, 2018.

Articles

Anti-trafficking Bill may lead to censorship (Swaraj Barooah and Gurshabad Grover; Livemint; July 24, 2018). The article was mirrored on CIS website in the month of August 2018.
The National Health Stack: An Expensive, Temporary Placebo (Murali Neelakantan, Swaraj Barooah, Swagam Dasgupta, and Torsha Sarkar; Bloomberg Quint; August 6, 2018).
Digital Native: Double Speak (Nishant Shah; Indian Express; August 12, 2018).
India's Contribution to Internet Governance Debates (Sunil Abraham, Mukta Batra, Geetha Hariharan, Swaraj Barooah and Akriti Bopanna; NLUD Student Law Journal; August 16, 2018).
National Health Stack: Data for Data's Sake, A Manmade Health Hazard (Murali Neelakantan, Swaraj Barooah, Swagam Dasgupta and Torsha Sarkar; Bloomberg Quint; August 17, 2018).
DNA ‘Evidence’: Only Opinion, Not Science, And Definitely Not Proof Of Crime! (Elonnai Hickok and Murali Neelakantan; Bloomberg Quint; August 22, 2018).
Digital Native: Playing God (Nishant Shah; Indian Express; August 26, 2018).

CIS in the News

UNDP joins Tech Giants in Partnership on AI (UNDP; August 1, 2018). CIS is one of the partners.
UIDAI says asked nobody to add the helpline number to contacts (Komal Gupta; Livemint; August 3, 2018).
How Chinese apps are making inroads in Indian small towns (Mugdha Variyar; Economic Times; August 10, 2018).
The Big Eye: The tech is all ready for mass surveillance in India (Anand Murali; Factor Daily; August 13, 2018).
Centre draws red lines for Whatsapp over fake news, says must comply with Indian laws (Nakul Sridhar; Hindustan Times; August 21, 2018).
India steps up vigilance against WhatsApp abuse (Debashree Dasgupta; Straits Times; August 24, 2018).
India’s Biometric Database Is Creating A Perfect Surveillance State — And U.S. Tech Companies Are On Board (Paul Bluementhal and Gopal Sathe; Huffington Post; August 25, 2018).
20 years of Google: Privacy, fake news and the future (Rachel Lopez; Hindustan Times; August 26, 2018).

Access to Knowledge

Wikipedia

Blog Entry

మిసిమి పత్రిక గ్రంథాలయంలో తెలుగు వికీపీడియన్ల కార్యక్రమం (Pavan Santhosh; August 22, 2018).

Events Organized

వికీపీడియా:సమావేశం/గుంటూరు/అన్నమయ్య గ్రంథాలయం - భాగస్వామ్య కార్యక్రమం జూలై 2018 (Organized by CIS-A2K; Annamaya Library; Guntur; July 10, 2018).
Workshop of Publishers and Writers on Unicode, Open Source and Wikimedia Projects (Organized by CIS-A2K; Pune; July 25, 2018).
Workshop of River activists for building Jal Bodh - Knowledge resource on Water (Organized by CIS-A2K; Pune; July 25, 2018).
ವಿಕಿಪೀಡಿಯ:ಸಂಪಾದನೋತ್ಸವಗಳು/ಸಂಪಾದನೋತ್ಸವ ತುಮಕೂರು ವಿಶ್ವವಿದ್ಯಾನಿಲಯ ೨೦೧೮ (Organized by CIS-A2K; Tumakur University; July 25, 2018).
Intensive Personalised Wiki Training Session at Pune (Organized by CIS-A2K; August 2018).
Wikisource and Wiki technical session at MKCL (Organized by CIS-A2K; Pune; August 2018).
Wiki technical orientation session with PyLadies group (Organized by CIS-A2K; Cummins College of Engineering, Pune; August 7, 2018).
Indian Independence Struggle Edit-a-thon on Marathi Wikipedia (Organized by CIS-A2K; August 10 - 20, 2018).

Event Participation

వికీపీడియా:సమావేశం/హైదరాబాదు/మిసిమి పత్రిక భాగస్వామ్య సమావేశం, జూలై 2018 (July 24, 2018). CIS-A2K held partnership discussions with Misimi Telugu monthly magazine.

Note: Event reports for all these were published in the month of August 2018.

Internet Governance

Privacy

Blog Entries

Use of Visuals and Nudges in Privacy Notices (Saumyaa Naidu; edited by Elonnai Hickok and Amber Sinha; August 18, 2018).
An Analysis of the CLOUD Act and Implications for India (Elonnai Hickok and Vipul Kharbanda; August 22, 2018).
Consumer Care Society: Silver Jubilee Year Celebrations (Arindrajit Basu; August 27, 2018).

Event Participation

Celebrating One Year of the Justice K.S. Puttaswamy v. Union of India Judgment (Organized by Indian Council for Research on International Economic Relations and Centre for Communication Governance at National Law University - Delhi; India International Centre; New Delhi; August 24, 2018). Shweta Mohandas was a panelist at the event.

Free Speech & Expression

Blog Entry

ICANN response to DIDP #31 on diversity (Akriti Bopanna and Akash Sriram; August 21, 2018).

Event Participation

Feminist Information Infrastructure Workshop with Blank Noise and Sangama (Organized by Sangama and Blank Noise; CIS, Bangalore; August 8, 2018). Akriti Bopanna, Swaraj Paul Barooah and Ambika Tandon conducted the workshop.
Summer School on Disinformation (Organized by Digital Asia Hub, Hans-Bredow-Institut, University of Hamburg, Institute for Technology & Society of Rio de Janeiro - ITS Rio and Berkman Klein Center for Internet and Society at Harvard University; Azure Room, Pullman, Jakarta; August 22 - 24, 2018). Sunil Abraham made a presentation on Disinformation and Online Recruitment.
World Library and Information Congress 2018 (Organized by International Federation of Library Associations and Institutions; Kuala Lumpur; August 26 - 27, 2018). Swaraj Paul Barooah was a speaker at two panels. Swaraj's first panel, titled "Intellectual Freedom in a Polarised World" was selected as one of 9 sessions to be live-streamed and recorded, out of 249 sessions in total. The recording can be accessed on YouTube.

Information Technology

Blog Entry

Future of Work: Report of the ‘Workshop on the IT/IT-eS Sector and the Future of Work in India’ (Torsha Sarkar, Ambika Tandon and Aayush Rath; edited by Elonnai Hickok. Akash Sriram and Divya Kushwaha; August 16, 2018).

Researchers at Work

The Researchers at Work (RAW) programme is an interdisciplinary research initiative driven by an emerging need to understand the reconfigurations of social practices and structures through the Internet and digital media technologies, and vice versa. It aims to produce local and contextual accounts of interactions, negotiations, and resolutions between the Internet, and socio-material and geo-political processes:

Call for Essays: Offline (P.P. Sneha; August 6, 2018). Selected authors are expected to submit the first draft of the essay (2000-4000 words) by Friday, October 5, 2018.

About CIS

► Follow us elsewhere

Twitter: http://twitter.com/cis_india
Twitter - Access to Knowledge: https://twitter.com/CISA2K
Twitter - Information Policy: https://twitter.com/CIS_InfoPolicy
Facebook - Access to Knowledge: https://www.facebook.com/cisa2k
E-Mail - Access to Knowledge: a2k@cis-india.org
E-Mail - Researchers at Work: raw@cis-india.org
List - Researchers at Work: https://lists.ghserv.net/mailman/listinfo/researchers

► Support Us

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For more details visit https://cis-india.org/about/newsletters/august-2018-newsletter

Essays on 'Offline' - Selected Abstracts

sneha-pp — 2018-09-06T14:14:47Z

In response to a recent call for essays that explore various dimensions of offline lives, we received 22 abstracts. Out of these, we have selected 10 pieces to be published as part of a series titled 'Offline' on the upcoming r@w blog. Please find below the details of the selected abstracts.

1. Chinar Mehta

2. Cole Flor

3. Elishia Vaz

4. Karandeep Mehra

5. Preeti Mudliar

6. Rianka Roy

7. Simiran Lalvani

8. Srikanth Lakshmanan

9. Titiksha Vashist

10. Dr. Yenn Lee

Chinar Mehta

In September 2017, a student of Banaras Hindu University was allegedly sexually harassed by two persons on a motorcycle while she was walking back to her hostel. Taking the discourse around this event as the starting point, the essay argues that the solutions offered for the safety of women align with the patriarchal notions of surveillance of women. The victim is twice violated; once during the act of sexual harassment, and twice when bodily privacy is exchanged for safety (exemplified by security cameras across the BHU campus). In fact, the ubiquitous presence of security cameras in order to control crime rates makes the safety of the woman’s body contingent to her adherence to social rules.

The moral panic around the safety of women encourages ways to offer a technological solution to a sociological problem. The body is granted safety insofar as the body is not ‘deviant’. There is a fusion of a ‘synoptic-panoptic’ vision, where not only a few watch the many, but the many also watch the few. Additionally, the essay then engages with the politics of mobile applications like Harassmap or Safetipin, and how offline spaces become online entities with crowdsourced data about how safe it is. Mapping events like sexual harassment on an online map is inscribed with perceptions about class and caste. The caste-patriarchal ideas of the protection of upper-caste women is maintained within these applications. The location and the people who visit or reside in them often collapse as the same; as being perpetrators of sexual crimes, while decontextualising incidents. Instead of a focus on how to make areas safer for all women, the discourse becomes about the avoidance of certain spaces, which may not be an option for the majority of women, especially those belonging to certain castes and classes. Features in mobile applications, specifically to do with location mapping, like Google Maps or Uber, become vehicles for the narratives about gendered security.

In defining the ‘offline’, the ‘online’ already exists, and the dichotomy is strangely maintained by the use of interactive maps on personal devices. The essay argues for a more nuanced understanding of internalised constructions of safety, and proposes the idea that institutional surveillance has been a way to discipline gendered bodies historically, and that it is continued with the use of technologies. This may be due to state machinery, or even cultural consent, which would then show up the way that features of mobile applications are marketed.

Cole Flor

Deactivating: An Escape From the Realities of the Online World

A friend posts travels, unboxing the latest gadget, trying out makeup products even before theyÕre out in the market, and the audience hit ÔlikeÕ but deep inside suddenly feel inadequate about their own lives and ask, "What am I doing wrong? Why am I not happy like them?"

The year was 2012 when the earliest of studies on how Social Media contributes to Anxiety went viral.

Even with the complicated nature of mental illnesses the taboo of it all that kept people tiptoeing around the topic - the news was able to crack the glossy facade of online spaces. Back then, it was ridiculous to think that online content the very representation of freedom of expression, information-sharing, open communities caused users some level of distress that affects their mental state. However, with every story that comes out these days of or relating to mental illnesses and social media, people are no longer in denial that being online has become the worldÕs default state. With that primary connection comes a full spectrum of emotions and perspectives that shifted how society views the self, their community, and their roles in being a ÔnetizenÕ. The blurring of lines of whatÕs considered appropriate content, the multiple performances of everyday life, and the imagery that constitutes "happiness", "satisfaction", "significance", "purpose", and "validation" can be described as overwhelming, disconcerting, and stressful to an extent. For borderline Millennials like myself the generation Digital Natives being offline is now an escape from the harsh realities of the online society.

These studies shed light on new narratives that recognized how curating the perfect and seamless life online not only affects the users viewing the content but even the content producers themselves, cracking under pressure and giving into the expectation of "Keeping the Image Alive", whatever it takes. Online life gave "peer pressure" a new meaning.

But users can only deal with so much pressure without sacrificing a part of themselves. During the emergence of social media in early 2000s, users felt the need to go online to escape their personal problems and live in another world where everything seemed easy and possible; where anonymity was powerful and so was virtually traveling in a borderless space where a link opens doors for personal, professional, political, and socio-economic transformation. A quick turn of events, users now wish to escape from the clamor of Twitter threads, Instagram stories, Snaps, and political rants and fake news on Facebook. More and more users deactivate and hibernate, get on board a "social media detox" to rid of the "poison" online content and their [e]nvironments has caused them, all in search for a new something to be called "real".

This narrative essay explores several dimensions why users choose to deactivate, and how that very choice is more of a symptom of a societal anomaly rather than a simple "break" from the chaotic world of social media. It is written in the perspective of a Digital Native - a person who has an inextricable affinity to digital devices but at the same time, is in touch with the analog way of life. The choice of going offline is not only to focus on what used to be real (a life away from the Internet), but it is to gather wits together, stay away from perfectly curated lives to keep sane, and ultimately, to chase life's curiosities and ambitions without having the need to validate achievements with a Like.

Elishia Vaz

Dynamics of the ‘offline’ self-diagnosis, exploration of the corporeal and the politics of information

The corpus of information on health and related topics in the online sphere has caused much concern in relation to self-diagnosis. Concepts like cyberchondria have emerged with the medicalisation of behaviour that uses online health information to explore the corporeal disabilities of the body. While literature has largely concentrated on individual susceptibilities to Cyberchondria and corresponding negative and positive results of the behaviour, there is little that explores the politics of information that characterises this trope. The behaviours of self-diagnosis and exploration of the corporeal often challenge the symptomatology of the offline allopathic physician. The physician often deals with an informed patient. Yet, the questions remain. If online information drives such offline corporeal exploration, who is left out? Are behaviours analogous to cyberchondria a privilege when viewed from a lens of digital marginalization? Are only those who have access to and can make sense of the online health discourse afforded simultaneous access to their offline corporeal bodies in ways that the digitally marginalized are not? This article uses semi-structured qualitative in-depth interviews with doctors to explore the dynamics of exploring the offline corporeal in the presence of online health information.

Karandeep Mehra

The Shadow that Social Media Casts: The Doubled Offlines of Online Sociality

In William Gibson’s cyberpunk novel Neuromancer, the protagonist ‘Case’ ‘jacks in’ and ‘jacks out’ of ‘cyberspace’. Yet when ostracized from cyberspace, when there is no more a possibility of jacking in, Case suffers a withdrawal from the ‘SimStim’ – simulated stimulations of cyberspace – and he crumbles in the hollow ache of this isolation “as the dreams came on in the Japanese night like livewire voodoo, and he'd cry for it, cry in his sleep, and wake alone in the dark, curled in his capsule in some coffin hotel, hands clawed into the bedslab, temper foam bunched between his fingers, trying to reach the console that wasn't there.”

Neuromancer has already been deemed prophetic by critics and theorists, yet in beginning with Gibson, this paper seeks to throw into relief a problem that has now begun to receive scholarly and academic attention. Namely, the legitimacy of drawing a line between the online and offline, or the virtual and the real. With Case, the real or the offline only becomes possible within the capacity to access or enter the virtual or online. To think of an offline without this capacity, but after it has become possible, is to confront a detritus, a second offline – a hapless clawing dexterity, with dreams that overrun an articulated, identificatory imagination. Anthropologists like Boellstorff, and media theorists like Yuk Hui, have resolved this problem though they have left unexplained this detritus. Instead they resolve the problem through a tight coupling of the online and offline, and rightly so, dismiss any attempts to think of the real in any way unaffected by the virtual.

The purpose of this paper, though in agreement with the work of Hui and Boellstorff, and drawing from them, is to restage the problem to incorporate the unexplained detritus. That to understand how our conceptions of the subject must be recast to apprehend the transformations that the internet has wrought, must not resolve the opposition between offline and online. We must, instead, attend to the way the two offlines emerge, and the conceptualization of the threshold that oscillates to constitute them.

The paper understands these two offlines as emerging in what are called “shitstorms”, or moments of frenzy across social media that incite a whorl of discourse, where the speaking body becomes a medium for the propagation for viral forms. The threshold that constitutes them is the relation of the technical extension that makes this propagation possible. This relation leaves the body in a perpetual state of information entropy – that is as a disordered source of data - which must be ordered to be communicated successfully. This threshold that marks out the phase shift between disorder to order to make possible propagation, makes possible also the shadow of an incommunicable that it casts behind – an incommunicable that when understood through Walter Benjamin’s idea of “the torso of a symbol” can help us recast the subject of a network society, as a subject grounded on this shadow.

Preeti Mudliar

In WiFi Exile: The Offline Subjectivities of Online Women

In telecom policy imaginations that seek to bridge India’s digital divides, public WiFi hotspots are a particular favourite to ensure last mile Internet connectivity in rural areas. As infrastructures, WiFi networks are thought to privilege democratic notions of freedom and connectivity by rendering space salient as networked areas that only require users to have a WiFi enabled device to get online. However, the kind of spaces that WiFi networks occupy are not always accessible by women even though they are ostensibly public in nature. Social norms that restrict and confine women’s mobilities to certain sanctioned areas do not allow their Internet and digital literacies to be visible in the same way as men who are more easily recognized as active Internet and technology users.

The invisibility of women thus struggles to create a presence as desirable subjects of the Internet that WiFi infrastructures should also address. In a community where WiFi networks was hosted in public spaces, women reported hearing about WiFi and seeing men using WiFi, but had never used it themselves even though they were also active users of the Internet. With its inaccessibility, the WiFi infrastructure was a contradictory presence in the community for the women who found themselves confined to using the Internet with spotty prepaid mobile data plans. Their use and experience of the Internet was thus in many ways diminished and limited and they reported experiencing a state of offlineness in contrast to the men in their community who could frequent the WiFi hotspots and avail of high speed Internet leading to more expansive repertoires of use.

This essay proposes a reflection on how the offline can be relational and constituted by the way infrastructures compose certain user subjectivities even while they exile others from being a part of their networks. It expands on Brian Larkin’s contention that in addition to their technical affordances, infrastructures are also equally semiotic and aesthetic forms that are oriented towards creating and addressing certain subjects. It thus asks, how do public WiFi deployments unwittingly create and constitute, what Bardzell and Bardzell call, as ‘subject positions’ of WiFi Internet users and non-users? How do these subject positions inform subjectivities of felt experience of the WiFi that translate to experiencing the offline even while being online?

Rianka Roy

Information Offline: Labour, Surveillance and Activism in the Indian IT&ITES Industry

In India the public availability of the internet in the nineties coincided with the beginning of liberalisation. Online connectivity brought the aura of globalization to this country. The internet was a privilege of the few. The Information Technology sector (along with the IT-enabled service industry) had an elite status. Its employees visited, and immigrated to western countries. In fact, India still remains one the major suppliers of cheap labour in the global IT sector.

Over the years the aura of the internet waned. In Digital India the State now projects the internet as a necessity. However, IT&ITES companies still identify the labour of their ‘white collar’ employees as a superior vocation. This vague claim to sophistication strips the digitally-connected workforce of various labour rights. Long hours, working from home, and surveillance on personal social media are normative practices in this industry. I conducted a case study on Indian IT&ITES employees for my doctoral research (2013-2018). It showed that protocols of online conduct influence these employees’ offline behaviour. For example, even without digital intervention, employees engage in manual self-surveillance and peer-surveillance to complement the digital surveillance of their organisations. They defend this naturalised practice as employers’ prerogative. Offline attributes like reflective glass walls in the office interior and exterior, reinforce this organisational culture.

Online connectivity is so deeply entrenched in this industry that even dissent seeks digital representation. Activist groups like the Forum for IT Employees (FITE) and the Union for IT & ITES (UNITES) run online campaigns parallel to their offline activism—adopting a hybrid method of protest. They have not abandoned the networks that ensnare them. Paradoxically they embody the same principle of exclusivity that their employers enforce on them. In their interviews, some activists have condemned militant trade unionism prevalent in other industries. For them, their online access sets them apart, and above their industrial couterparts. The “salaried bourgeoisie” (Zizek, p.12) refuse to align themselves with other labour unions.

My paper examines the impact of the near-absence of offline parameters in this industry. On the basis of company policies and interviews of IT&ITES employees, it examines if employees can stand up to digital dominance and secure their rights without conventional modes of offline protests.

Simiran Lalvani

The Offline as a Place of Work: Examining Food Discovery and Delivery by Digital Platforms

Digital platforms for food discovery and delivery are generally viewed as convenient, efficient, allowing discovery of choices beyond the familiar and as reliable sources of information regarding credibility through ratings, comments and photographs.

The digital divide after demonetisation became more stark as those with access to the online abandoned the offline service providers for their digital counterparts. The adverse impact of this digital divide on offline, informal goods and service providers like local kirana stores, autorickshaw drivers, hawkers has been highlighted and the paradox of formalising the financial system while informalising labour has been pointed out too. In a similar vein, this essay examines continuities and changes in the practices of food discovery and delivery in the context of new digital platforms. How do practices of offline food discovery and delivery respond to the introduction of digital platforms?

Recently, the Food Safety and Standards Association of India (FSSAI) found that nearly 40 percent of listings on 10 digital platforms like Swiggy and Zomato were of unlicensed food operators. The FSSAI directed these digital platforms to delist these unlicensed entities and also commented that some of the platforms themselves did not have required licenses.

This essay therefore turns attention away from the impact of digital platforms on offline, informal food operators and towards the digital platforms themselves and the large swathes of informal labour employed in the offline by such platforms. It focuses on location-based gig work4 like delivery to highlight the role of these workers in running the online. It does so in order to avoid obfuscating the role of such workers in making the online seem formal, efficient and reliable. Finally, it asks how working for the online in the offline allows a denial of their status as employees and invisibilisation of such work and workers.

Srikanth Lakshmanan

The Cash Merchant

The paper explores the various reasons for merchants remaining offline and using cash over digital payments, both willingly and without a choice, various factors leading to it, the rationale for their choices, policy responses by the state and industry in furthering promotion of digital payments. Demonetisation not only made everyone including merchants seek alternatives to cash in order to continue the business but also provided a policy window for digital payments industry to get a faster regulatory, policy clearances, get the government to invest in incentivising digital payments. Despite these, the cash to digital shift has not taken place and the demonetisation trends in increased digital payments across modes reversed after cash was back in the system.

The paper attempts to document infrastructural, commercial, social issues preventing the adoption and the responses of merchants, industry to various policy prescription/enablement to increase adoption whose outcomes are unclear and have not been evaluated.

Infrastructural issues include technology, policy, regulatory, industry challenges in expanding the existing infrastructure. The lack of physical, regulatory, legal infrastructure prevents growth and merchants from adopting digital payments. Commercial issues include economics of direct and indirect costs to the merchant incurred in owning, accepting digital payments, commercial considerations of various ecosystem players including banks, payment processors that inhibit adoption. Social issues include awareness, literacy including digital, financial literacy, trust, behaviour shift, convenience, exercising choice towards cash.

Ever since the demonetisation, there is a heightened activity from industry and various arms of the government has been active in promoting digital payments. Industry-led by banks and fintech ecosystem has built a range of mobile-enabled digital payment platforms/products such wallets, BHIM-UPI, BHIM-Aadhaar, BharatQR to enable asset light merchant acceptance infrastructure, expanded merchant base in addition to catering to the surge in demand of card-accepting PoS machines. The government had undertaken a massive awareness program Digidhan soon after demonetisation and had also set up National Digital Payments Mission to promote, oversee the sustainable growth of digital payments. Various ministries are also adopting digital payments in their functioning. It also aided behavioural shift through cashback, incentivisation schemes, some specifically targeted at merchants, reimbursement of card processing charges for smaller merchants and even has in principle proposed a 20% discount on the GST. It has remained light touch on the regulation by not setting up the regulator even after 18 months of announcing the same.

The paper will analyse how the efforts of industry and government have been met by the merchant and look at factors which can and cannot be changed with policy interventions and real scope of digital payments in the merchant ecosystem.

Titiksha Vashist

Byung-Chul Han in his celebrated book “In the Swarm” warns us of the dangers of the mob that is increasingly replacing the ‘crowd’ or collective which constituted the mass of politics. He states that no true politics is possible in the digital era, where online communities lack a sense of spirit, a “we” that is now a swarm of individuals. Despite his theoretical brilliance, Han forgets that he cannot talk of the digital, the online without the offline. Politics has occurred, and continues to exist in the offline space, using the internet to spread its wings. It is not the online as-is, which has become the subject of philosophy, politics, art and aesthetics that characterises itself alone, sealed off as a space where events occur, identities formed and movements created. It is in fact, the offline that brings the online into being and gives it a myriad of meaning. While access, priviledge, commerce and capital are major themes while discussing internet access, we must not forget that the online is not merely a question of choice or access- but one that is often carefully disabled on purpose to control the offline. In India as well as other parts of the world, the internet has been interrupted for long durations to exercise political control and power, often crippling populations. According to a report by the Software Freedom Law Center (SFLC), an organisation that keeps a track on internet shutdowns in the country, India has seen 244 shutdowns in 2012, of which 108 have been enforced on 2018 alone. These have been concentrated in areas such as Jammu and Kashmir and the North-East, and in instances of violence and resistance as well.

An internet shutdown is the digital equivalent of a curfew, and its application raises questions regarding its cause, uses and political intent. The internet as means, as an enabler of political action is seen as threatening, given the shift in the way people today communicate with one another. Internet bans and shutdowns are not only matters of commerce, but also pose the question of politics to understand when and how power is exercised. An offline created out of a shutdown is different- it is curated on purpose and calls for alternative means by which functionalities of daily life, resistance, capital and media occur. This essay aims to explore how the political image of the “sovereign” also enters the digital space to carefully construct, cut- off and marginalized voices, all in the name of state security, and law and order. According to philosopher Carl Schmitt, the sovereign is he who decides on the exception, and the offline is increasingly becoming a space of exception where those who control the digital can influence the political in real time. In this context, how do we understand the relationship of power and digital access? This essay focuses on three broad questions: (a) Is there a community online capable of political action that is facilitated by the internet? (b) How does power function in internet shutdowns and are they threats to democratic freedom of expression? And finally, (c) How do we begin to unpack the ‘online’ and the ‘offline’ in such a context?

Dr. Yenn Lee

Online consequences of being offline: A gendered tale from South Korea

We hear numerous anecdotes of people facing the consequences of their online activity when offline. Some have lost jobs, have been disciplined in school, or have wound up in court for what they have posted online. However, in comparison, there has been somewhat limited discussion of the reverse scenario, where going about one's day-to-day life offline leads to violations of one's online self.

This essay is concerned with a new and unparalleled phenomenon in South Korea, locally termed molka. Literally meaning 'hidden camera', molka refers to the genre of women being filmed in the least expected of situations, including cubicles in public restrooms and in the midst of car accidents, and the footage being traded and consumed as entertainment. This is distinct from revenge porn or cyber-stalking where the perpetrators usually target a known or pre-determined individual with the intention of humiliating them or to exercise control. The subjects of molka are victimised for merely existing offline and are mostly unaware that their privacy has been violated until they are recognised by someone who knows them and informs them (or inflicts further harm). In response to the rising trend of molka, tens of thousands of frustrated and infuriated women have staged monthly protest rallies in central Seoul since May 2018, urging government intervention. Ironically, women gathered offline to protest against molka have been subjected to further molka crimes with unconsented photos of themselves at the rallies surfacing online and many have been the target of misogynous attacks.

Informed by the author's multi-year ethnographic study of technologically mediated and heightened tensions in contemporary South Korean society, this essay provides a succinct yet contextualised account of the molka phenomenon. With particular attention to the ways in which the phenomenon has developed while shifting between offline and online realms, the essay demonstrates the gendered nature of digital privacy and harassment, and the broader implications of this Korean phenomenon for women in other parts of the world.

For more details visit https://cis-india.org/raw/essays-on-offline-selected-abstracts

AI in India: A Policy Agenda

Amber Sinha, Elonnai Hickok and Arindrajit Basu — 2018-09-05T15:39:59Z

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Background

Over the last few months, the Centre for Internet and Society has been engaged in the mapping of use and impact of artificial intelligence in health, banking, manufacturing, and governance sectors in India through the development of a case study compendium.^{^[1]} Alongside this research, we are examining the impact of Industry 4.0 on jobs and employment and questions related to the future of work in India. We have also been a part of several global conversations on artificial intelligence and autonomous systems. The Centre for Internet and Society is part of the Partnership on Artificial Intelligence, a consortium which has representation from some of most important companies and civil society organisations involved in developments and research on artificial intelligence. We have contributed to the The IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems, and are also a part of a Big Data for Development Global Network, where we are undertaking research towards evolving ethical principles for use of computational techniques. The following are a set of recommendations we have arrived out of our research into artificial intelligence, particularly the sectoral case studies focussed on the development and use of artificial intelligence in India.

National AI Strategies: A Brief Global Overview

Artificial Intelligence is emerging as a central policy issue in several countries. In October 2016, the Obama White House released a report titled, “Preparing for the Future of Artificial Intelligence”^{^[2]} delving into a range of issues including application for public goods, regulation, economic impact, global security and fairness issues. The White House also released a companion document called the “National Artificial Intelligence Research and Development Strategic Plan”^{^[3]} which laid out a strategic plan for Federally-funded research and development in AI. These were the first of a series of policy documents released by the US towards the role of AI. The United Kingdom announced its 2020 national development strategy and issued a government report to accelerate the application of AI by government agencies while in 2018 the Department for Business, Energy, and Industrial Strategy released the Policy Paper - AI Sector Deal.^{^[4]} The Japanese government released it paper on Artificial Intelligence Technology Strategy in 2017.^{^[5]} The European Union launched "SPARC," the world’s largest civilian robotics R&D program, back in 2014.^{^[6]}

Over the last year and a half, Canada,^{^[7]} China,^{^[8]} the UAE,^{^[9]} Singapore,^{^[10]} South Korea^{^[11]}, and France^{^[12]} have announced national AI strategy documents while 24 member States in the EU have committed to develop national AI policies that reflect a “European” approach to AI ^{^[13]}. Other countries such as Mexico and Malaysia are in the process of evolving their national AI strategies. What this suggests is that AI is quickly emerging as central to national plans around the development of science and technology as well as economic and national security and development. There is also a focus on investments enabling AI innovation in critical national domains as a means of addressing key challenges facing nations. India has followed this trend and in 2018 the government published two AI roadmaps - the Report of Task Force on Artificial Intelligence by the AI Task Force constituted by the Ministry of Commerce and Industry^{^[14]} and the National Strategy for Artificial Intelligence by Niti Aayog.^{^[15]} Some of the key themes running across the National AI strategies globally are spelt out below.

Economic Impact of AI

A common thread that runs across the different national approaches to AI is the belief in the significant economic impact of AI, that it will likely increase productivity and create wealth. The British government estimated that AI could add $814 billion to the UK economy by 2035. The UAE report states that by 2031, AI will help boost the country’s GDP by 35 per cent, reduce government costs by 50 per cent. Similarly, China estimates that the core AI market will be worth 150 billion RMB ($25bn) by 2020, 400 billion RMB ($65bn) and one trillion RMB ($160bn) by 2030. The impact of adoption of AI and automation of labour and employment is also a key theme touched upon across the strategies. For instance, the White House Report of October 2016 states the US workforce is unprepared – and that a serious education programme, through online courses and in-house schemes, will be required.^{^[16]}

State Funding

Another key trend exhibited in all national strategies towards AI has been a commitment by the respective governments towards supporting research and development in AI. The French government has stated that it intends to invest €1.5 billion ($1.85 billion) in AI research in the period through to 2022. The British government’s recommendations, in late 2017, were followed swiftly by a promise in the autumn budget of new funds, including at least £75 million for AI. Similarly, the the Canadian government put together a $125-million ‘pan-Canadian AI strategy’ last year.

AI for Public Good

The use of AI for Public Good is a significant focus of most AI policies. The biggest justification for AI innovation as a legitimate objective of public policy is its promised impact towards improvement of people’s lives by helping to solve some of the world’s greatest challenges and inefficiencies, and emerge as a transformative technology, much like mobile computing. These public good uses of AI are emerging across sectors such as transportation, migration, law enforcement and justice system, education, and agriculture..

National Institutions leading AI research

Another important trend which was key to the implementation of national AI strategies is the creation or development of well-funded centres of excellence which would serve as drivers of research and development and leverage synergies with the private sector. The French Institute for Research in Computer Science and Automation (INRIA) plans to create a national AI research program with five industrial partners. In UK, The Alan Turing Institute is likely to emerge as the national institute for data science, and an AI Council would be set up to manage inter-sector initiatives and training. In Canada, Canadian Institute for Advanced Research (CIFAR) has been tasked with implementing their AI strategy. Countries like Japan has a less centralised structure with the creation of strategic council for AI technology’ to promote research and development in the field, and manage a number of key academic institutions, including NEDO and its national ICT (NICT) and science and tech (JST) agencies. These institutions are key to successful implementation of national agendas and policies around AI.

AI, Ethics and Regulation

Across the AI strategies — ethical dimensions and regulation of AI were highlighted as concerns that needed to be addressed. Algorithmic transparency and explainability, clarity on liability, accountability and oversight, bias and discrimination, and privacy are ethical and regulatory questions that have been raised. Employment and the future of work is another area of focus that has been identified by countries. For example, the US 2016 Report reflected on if existing regulation is adequate to address risk or if adaption is needed by examining the use of AI in automated vehicles. In the policy paper - AI Sector Deal - the UK proposes four grand challenges: AI and Data Economy, Future Mobility, Clean Growth, and Ageing Society. The Pan Canadian Artificial Intelligence Strategy focuses on developing global thought leadership on the economic, ethical, policy, and legal implications of advances in artificial intelligence.^{^[17]}

The above are important factors and trends to take into account and to different extents have been reflected in the two national roadmaps for AI. Without adequate institutional planning, there is a risk of national strategies being too monolithic in nature. Without sufficient supporting mechanisms in the form of national institutions which would drive the AI research and innovation, capacity building and re-skilling of workforce to adapt to changing technological trends, building regulatory capacity to address new and emerging issues which may disrupt traditional forms of regulation and finally, creation of an environment of monetary support both from the public and private sector it becomes difficult to implement a national strategy and actualize the potentials of AI . As stated above, there is also a need for identification of key national policy problems which can be addressed by the use of AI, and the creation of a framework with institutional actors to articulate the appropriate plan of action to address the problems using AI. There are several ongoing global initiatives which are in the process of trying to articulate key principles for ethical AI. These discussions also feature in some of the national strategy documents.

Key considerations for AI policymaking in India

As mentioned above, India has published two national AI strategies. We have responded to both of these here^{^[18]} and here.^{^[19]} Beyond these two roadmaps, this policy brief reflects on a number of factors that need to come together for India to leverage and adopt AI across sectors, communities, and technologies successfully.

Resources, Infrastructure, Markets, and Funding

Ensure adequate government funding and investment in R&D

As mentioned above, a survey of all major national strategies on AI reveals a significant financial commitment from governments towards research and development surrounding AI. Most strategy documents speak of the need to safeguard national ambitions in the race for AI development. In order to do so it is imperative to have a national strategy for AI research and development, identification of nodal agencies to enable the process, and creation of institutional capacity to carry out cutting edge research.

Most jurisdictions such as Japan, UK and China have discussed collaborations between the industry and government to ensure greater investment into AI research and development. The European Union has spoken using the existing public-private partnerships, particularly in robotics and big data to boost investment by over one and half times.^{^[20]} To some extent, this step has been initiated by the Niti Aayog strategy paper. The paper lists out enabling factors for the widespread adoption of AI and maps out specific government agencies and ministries that could promote such growth. In February 2018, the Ministry of Electronics and IT also set up four committees to prepare a roadmap for a national AI programme. The four committees are presently studying AI in context of citizen centric services; data platforms; skilling, reskilling and R&D; and legal, regulatory and cybersecurity perspectives.^{^[21]}

Democratize AI technologies and data

Clean, accurate, and appropriately curated data is essential for training algorithms. Importantly, large quantities of data alone does not translate into better results. Accuracy and curation of data should be prerequisites to quantity of data. Frameworks to generate and access larger quantity of data should not hinge on models of centralized data stores. The government and the private sector are generally gatekeepers to vast amounts of data and technologies. Ryan Calo has called this an issue of data parity,^{^[22]} where only a few well established leaders in the field have the ability to acquire data and build datasets. Gaining access to data comes with its own questions of ownership, privacy, security, accuracy, and completeness. There are a number of different approaches and techniques that can be adopted to enable access to data.

Open Government Data

Robust open data sets is one way in which access can be enabled. Open data is particularly important for small start-ups as they build prototypes. Even though India is a data dense country and has in place a National Data and Accessibility Policy India does not yet have robust and comprehensive open data sets across sectors and fields. Our research found that this is standing as an obstacle to innovation in the Indian context as startups often turn to open datasets in the US and Europe for developing prototypes. Yet, this is problematic because the demography represented in the data set is significantly different resulting in the development of solutions that are trained to a specific demographic, and thus need to be re-trained on Indian data. Although AI is technology agnostic, in the cases of different use cases of data analysis, demographically different training data is not ideal. This is particularly true for certain categories such as health, employment, and financial data.

The government can play a key role in providing access to datasets that will help the functioning and performance of AI technologies. The Indian government has already made a move towards accessible datasets through the Open Government Data Platform which provides access to a range of data collected by various ministries. Telangana has developed its own Open Data Policy which has stood out for its transparency and the quality of data collected and helps build AI based solutions.

In order to encourage and facilitate innovation, the central and state governments need to actively pursue and implement the National Data and Accessibility Policy.

Access to Private Sector Data

The private sector is the gatekeeper to large amounts of data. There is a need to explore different models of enabling access to private sector data while ensuring and protecting users rights and company IP. This data is often considered as a company asset and not shared with other stakeholders. Yet, this data is essential in enabling innovation in AI.

Amanda Levendowski states that ML practitioners have essentially three options in securing sufficient data— build the databases themselves, buy the data, or use data in the public domain. The first two alternatives are largely available to big firms or institutions. Smaller firms often end resorting to the third option but it carries greater risks of bias.

A solution could be federated access, with companies allowing access to researchers and developers to encrypted data without sharing the actual data. Another solution that has been proposed is ‘watermarking’ data sets.

Data sandboxes have been promoted as tools for enabling innovation while protecting privacy, security etc. Data sandboxes allow companies access to large anonymized data sets under controlled circumstances. A regulatory sandbox is a controlled environment with relaxed regulations that allow the product to be tested thoroughly before it is launched to the public. By providing certification and safe spaces for testing, the government will encourage innovation in this sphere. This system has already been adopted in Japan where there are AI specific regulatory sandboxes to drive society 5.0.160 data sandboxes are tools that can be considered within specific sectors to enable innovation. A sector wide data sandbox was also contemplated by TRAI.^{^[23]} A sector specific governance structure can establish a system of ethical reviews of underlying data used to feed the AI technology along with data collected in order to ensure that this data is complete, accurate and has integrity. A similar system has been developed by Statistics Norway and the Norwegian Centre for Research Data.^{^[24]}

AI Marketplaces

The National Roadmap for Artificial Intelligence by NITI Aayog proposes the creation of a National AI marketplace that is comprised of a data marketplace, data annotation marketplace, and deployable model marketplace/solutions marketplace.^{^[25]} In particular, it is envisioned that the data marketplace would be based on blockchain technology and have the features of: traceability, access controls, compliance with local and international regulations, and robust price discovery mechanism for data. Other questions that will need to be answered center around pricing and ensuring equal access. It will also be interesting how the government incentivises the provision of data by private sector companies. Most data marketplaces that are emerging are initiated by the private sector.^{^[26]} A government initiated marketplace has the potential to bring parity to some of the questions raised above, but it should be strictly limited to private sector data in order to not replace open government data.

Open Source Technology

A number of companies are now offering open source AI technologies. For example, TensorFlow, Keras, Scikit-learn, Microsoft Cognitive Toolkit, Theano, Caffe, Torch, and Accord.NET.^{^[27]} The government should incentivise and promote open source AI technologies towards harnessing and accelerating research in AI.

Re-thinking Intellectual Property Regimes

Going forward it will be important for the government to develop an intellectual property framework that encourages innovation. AI systems are trained by reading, viewing, and listening to copies of human-created works. These resources such as books, articles, photographs, films, videos, and audio recordings are all key subjects of copyright protection. Copyright law grants exclusive rights to copyright owners, including the right to reproduce their works in copies, and one who violates one of those exclusive rights “is an infringer of copyright.^{^[28]}

The enterprise of AI is, to this extent, designed to conflict with tenets of copyright law, and after the attempted ‘democratization’ of copyrighted content by the advent of the Internet, AI poses the latest challenge to copyright law. At the centre of this challenge is the fact that it remains an open question whether a copy made to train AI is a “copy” under copyright law, and consequently whether such a copy is an infringement.^{^[29]} The fractured jurisprudence on copyright law is likely to pose interesting legal questions with newer use cases of AI. For instance, Google has developed a technique called federated learning, popularly referred to as on-device ML, in which training data is localised to the originating mobile device rather than copying data to a centralized server.^{^[30]} The key copyright questions here is whether decentralized training data stored in random access memory (RAM) would be considered as “copies”.^{^[31]} There are also suggestions that copies made for the purpose of training of machine learning systems may be so trivial or de minimis that they may not qualify as infringement.^{^[32]} For any industry to flourish, there needs to be legal and regulatory clarity and it is imperative that these copyright questions emerging out of use of AI be addressed soon.

As noted in our response to the Niti Aayog national AI strategy “The report also blames the current Indian Intellectual Property regime for being “unattractive” and averse to incentivising research and adoption of AI. Section 3(k) of Patents Act exempts algorithms from being patented, and the Computer Related Inventions (CRI) Guidelines have faced much controversy over the patentability of mere software without a novel hardware component. The paper provides no concrete answers to the question of whether it should be permissible to patent algorithms, and if yes, to to what extent. Furthermore, there needs to be a standard either in the CRI Guidelines or the Patent Act, that distinguishes between AI algorithms and non-AI algorithms. Additionally, given that there is no historical precedence on the requirement of patent rights to incentivise creation of AI, innovative investment protection mechanisms that have lesser negative externalities, such as compensatory liability regimes would be more desirable. The report further failed to look at the issue holistically and recognize that facilitating rampant patenting can form a barrier to smaller companies from using or developing AI. This is important to be cognizant of given the central role of startups to the AI ecosystem in India and because it can work against the larger goal of inclusion articulated by the report.”^{^[33]}

National infrastructure to support domestic development

Building a robust national Artificial Intelligence solution requires establishing adequate indigenous infrastructural capacity for data storage and processing. While this should not necessarily extend to mandating data localisation as the draft privacy bill has done, capacity should be developed to store data sets generated by indigenous nodal points.

AI Data Storage

Capacity needs to increase as the volume of data that needs to be processed in India increases. This includes ensuring effective storage capacity, IOPS (Input/Output per second) and ability to process massive amounts of data.

AI Networking Infrastructure

Organizations will need to upgrade their networks in a bid to upgrade and optimize efficiencies of scale. Scalability must be undertaken on a high priority which will require a high-bandwidth, low latency and creative architecture, which requires appropriate last mile data curation enforcement.

Conceptualization and Implementation

Awareness, Education, and Reskilling

Encouraging AI research

This can be achieved by collaborations between the government and large companies to promote accessibility and encourage innovation through greater R&D spending. The Government of Karnataka, for instance, is collaborating with NASSCOM to set up a Centre of Excellence for Data Science and Artificial Intelligence (CoE-DS&AI) on a public-private partnership model to “accelerate the ecosystem in Karnataka by providing the impetus for the development of data science and artificial intelligence across the country.” Similar centres could be incubated in hospitals and medical colleges in India. Principles of public funded research such as FOSS, open standards, and open data should be core to government initiatives to encourage research. The Niti Aaayog report proposes a two tier integrated approach towards accelerating research, but is currently silent on these principles.^{^[34]}

Therefore,as suggested by the NITI AAYOG Report, the government needs to set up ‘centres of excellence’. Building upon the stakeholders identified in the NITI AAYOG Report, the centers of excellence should involve a wide range of experts including lawyers, political philosophers, software developers, sociologists and gender studies from diverse organizations including government, civil society,the private sector and research institutions to ensure the fair and efficient roll out of the technology.^{^[35]} An example is the Leverhulme Centre for the Future of Intelligence set up by the Leverhulme Foundation at the University of Cambridge^{^[36]} and the AI Now Institute at New York University (NYU)^{^[37]} These research centres bring together a wide range of experts from all over the globe.^{^[38]}

Skill sets to successfully adopt AI

Educational institutions should provide opportunities for students to skill themselves to adapt to adoption of AI, and also push for academic programmes around AI. It is also important to introduce computing technologies such as AI in medical schools in order to equip doctors to adopt the technical skill sets and ethics required to use integrate AI in their practices. Similarly, IT institutes could include courses on ethics, privacy, accountability etc. to equip engineers and developers with an understanding of the questions surrounding the technology and services they are developing.

Societal Awareness Building

Much of the discussion around skilling for AI is in the context of the workplace, but there is a need for awareness to be developed across society for a broader adaptation to AI. The Niti Aayog report takes the first steps towards this - noting the importance of highlighting the benefits of AI to the public. The conversation needs to go beyond this towards enabling individuals to recognize and adapt to changes that might be brought about - directly and indirectly - by AI - inside and outside of the workplace. This could include catalyzing a shift in mindset to life long learning and discussion around potential implications of human-machine interactions.

Early Childhood Awareness and Education

It is important that awareness around AI begins in early childhood. This is in part because children already interact with AI and increasingly will do so and thus awareness is needed in how AI works and can be safely and ethically used. It is also important to start building the skills that will be necessary in an AI driven society from a young age.

Focus on marginalised groups

Awareness, skills, and education should be targeted at national minorities including rural communities, the disabled, and women. Further, there should be a concerted focus on communities that are under-represented in the tech sector-such as women and sexual minorities-to ensure that the algorithms themselves and the community working on AI driven solutions are holistic and cohesive. For example, Iridescent focuses on girls, children, and families to enable them to adapt to changes like artificial intelligence through promoting curiosity, creativity, and perseverance to become lifelong learners.^{^[39]} This will be important towards ensuring that AI does not deepen societal and global inequalities including digital divides. Widespread use of AI will undoubtedly require re-skilling various stakeholders in order to make them aware of the prospects of AI.^{^[40]} Artificial Intelligence itself can be used as a resource in the re-skilling process itself-as it would be used in the education sector to gauge people’s comfort with the technology and plug necessary gaps.

Improved access to and awareness of Internet of Things

The development of smart content or Intelligent Tutoring Systems in the education can only be done on a large scale if both the teacher and the student has access to and feel comfortable with using basic IoT devices . A U.K. government report has suggested that any skilled workforce using AI should be a mix of those with a basic understanding responsible for implementation at the grassroots level , more informed users and specialists with advanced development and implementation skills.^{^[41]}The same logic applies to the agriculture sector, where the government is looking to develop smart weather-pattern tracking applications. A potential short-term solution may lie in ensuring that key actors have access to an IoT device so that he/she may access digital and then impart the benefits of access to proximate individuals. In the education sector, this would involve ensuring that all teachers have access to and are competent in using an IoT device. In the agricultural sector, this may involve equipping each village with a set of IoT devices so that the information can be shared among concerned individuals. Such an approach recognizes that AI is not the only technology catalyzing change - for example industry 4.0 is understood as comprising of a suite of technologies including but not limited to AI.

Public Discourse

As solutions bring together and process vast amounts of granular data, this data can be from a variety of public and private sources - from third party sources or generated by the AI and its interaction with its environment. This means that very granular and non traditional data points are now going into decision making processes. Public discussion is needed to understand social and cultural norms and standards and how these might translate into acceptable use norms for data in various sectors.

Coordination and collaboration across stakeholders

Development of Contextually Nuanced and Appropriate AI Solutions

Towards ensuring effectiveness and accuracy it is important that solutions used in India are developed to account for cultural nuances and diversity. From our research this could be done in a number of ways ranging from: training AI solutions used in health on data from Indian patients to account for differences in demographics^{^[42]}, focussing on natural language voice recognition to account for the diversity in languages and digital skills in the Indian context,^{^[43]} and developing and applying AI to reflect societal norms and understandings.^{^[44]}

Continuing, deepening, and expanding partnerships for innovation

Continued innovation while holistically accounting for the challenges that AI poses will be key for actors in the different sectors to remain competitive. As noted across case study reports partnerships is key in facilitating this innovation and filling capacity gaps. These partnerships can be across sectors, institutions, domains, geographies, and stakeholder groups. For example: finance/ telecom, public/private, national/international, ethics/software development/law, and academia/civil society/industry/government. We would emphasize collaboration between actors across different domains and stakeholder groups as developing holistics AI solutions demands multiple understandings and perspectives.

Coordinated Implementation

Key sectors in India need to begin to take steps to consider sector wide coordination in implementing AI. Potential stress and system wide vulnerabilities would need to be considered when undertaking this. Sectoral regulators such as RBI, TRAI, and the Medical Council of India are ideally placed to lead this coordination.

Develop contextual standard benchmarks to assess quality of algorithms

In part because of the nacency of the development and implementation of AI, towards enabling effective assessments of algorithms to understand impact and informing selection by institutions adopting solutions, standard benchmarks can help in assessing quality and appropriateness of algorithms. It may be most effective to define such benchmarks at a sectoral level (finance etc.) or by technology and solution (facial recognition etc.). Ideally, these efforts would be led by the government in collaboration with multiple stakeholders.

Developing a framework for working with the private sector for use-cases by the government

There are various potential use cases the government could adopt in order to use AI as a tool for augmenting public service delivery in India by the government. However, given lack of capacity -both human resource and technological-means that entering into partnerships with the private sector may enable more fruitful harnessing of AI- as has been seen with existing MOUs in the agricultural^{^[45]} and healthcare sectors.^{^[46]} However, the partnership must be used as a means to build capacity within the various nodes in the set-up rather than relying only on the private sector partner to continue delivering sustainable solutions.

Particularly, in the case of use of AI for governance, there is a need to evolve a clear parameter to do impact assessment prior to the deployment of the technology that clearly tries to map estimated impact of the technology of clearly defined objectives, which must also include the due process, procedural fairness and human rights considerations . As per Article 12 of the Indian Constitution, whenever the government is exercising a public function, it is bound by the entire gamut of fundamental rights articulated in Part III of the Constitution. This is a crucial consideration the government will have to bear in mind whenever it uses AI-regardless of the sector. In all cases of public service delivery, primary accountability for the use of AI should lie with the government itself, which means that a cohesive and uniform framework which regulates these partnerships must be conceptualised. This framework should incorporate : (a) Uniformity in the wording and content of contracts that the government signs, (b) Imposition of obligations of transparency and accountability on the developer to ensure that the solutions developed are in conjunction with constitutional standards and (c) Continuous evaluation of private sector developers by the government and experts to ensure that they are complying with their obligations.

Defining Safety Critical AI

The implications of AI differs according to use. Some countries, such as the EU, are beginning to define sectors where AI should play the role of augmenting jobs as opposed to functioning autonomously. The Global Partnership on AI is has termed sectors where AI tools supplement or replace human decision making in areas such as health and transportation as ‘safety critical AI’ and is researching best practices for application of AI in these areas. India will need to think through if there is a threshold that needs to be set and more stringent regulation applied. In addition to uses in health and transportation, defense and law enforcement would be another sector where certain use would require more stringent regulation.

Appropriate certification mechanisms

Appropriate certificate mechanisms will be important in ensuring the quality of AI solutions. A significant barrier to the adoption of AI in some sectors in India is acceptability of results, which include direct results arrived at using AI technologies as well as opinions provided by practitioners that are influenced/aided by AI technologies. For instance, start-ups in the healthcare sectors often find that they are asked to show proof of a clinical trial when presenting their products to doctors and hospitals, yet clinical trials are expensive, time consuming and inappropriate forms of certification for medical devices and digital health platforms. Startups also face difficulty in conducting clinical trials as there is lack of a clear regulation to adhere to. They believe that while clinical trials are a necessity with respect to drugs, the process often results in obsolescence of the technology by the time it is approved in the context of AI. Yet, medical practitioners are less trusting towards startups who do not have approval from a national or international authority. A possible and partial solution suggested by these startups is to enable doctors to partner with them to conduct clinical trials together. However, such partnerships cannot be at the expense of rigour, and adequate protections need to be built in the enabling regulation.

Serving as a voice for emerging economies in the global debate on AI

While India should utilise Artificial Intelligence in the economy as a means of occupying a driving role in the global debate around AI, it must be cautious before allowing the use of Indian territory and infrastructure as a test bed for other emerging economies without considering the ramifications that the utilisation of AI may have for Indian citizens. The NITI AAYOG Report envisions India as leverage AI as a ‘garage’ for emerging economies.^{^[47]} While there are certain positive connotations of this suggestion in so far as this propels India to occupy a leadership position-both technically and normatively in determining future use cases for AI in India,, in order to ensure that Indian citizens are not used as test subjects in this process, guiding principles could be developed such as requiring that projects have clear benefits for India.

Frameworks for Regulation

National legislation

Data Protection Law

India is a data-dense country, and the lack of a robust privacy regime, allows the public and private sector easier access to large amounts of data than might be found in other contexts with stringent privacy laws. India also lacks a formal regulatory regime around anonymization. In our research we found that this gap does not always translate into a gap in practice, as some start up companies have adopted self-regulatory practices towards protecting privacy such as of anonymising data they receive before using it further, but it does result in unclear and unharmonized practice..

In order to ensure rights and address emerging challenges to the same posed by artificial intelligence, India needs to enact a comprehensive privacy legislation applicable to the private and public sector to regulate the use of data, including use in artificial intelligence. A privacy legislation will also have to address more complicated questions such as the use of publicly available data for training algorithms, how traditional data categories (PI vs. SPDI - meta data vs. content data etc.) need to be revisited in light of AI, and how can a privacy legislation be applied to autonomous decision making. Similarly, surveillance laws may need to be revisited in light of AI driven technologies such as facial recognition, UAS, and self driving cars as they provide new means of surveillance to the state and have potential implications for other rights such as the right to freedom of expression and the right to assembly. Sectoral protections can compliment and build upon the baseline protections articulated in a national privacy legislation.^{^[48]} In August 2018 the Srikrishna Committee released a draft data protection bill for India. We have reflected on how the Bill addresses AI. Though the Bill brings under its scope companies deploying emerging technologies and subjects them to the principles of privacy by design and data impact assessments, the Bill is silent on key rights and responsibilities, namely the responsibility of the data controller to explain the logic and impact of automated decision making including profiling to data subjects and the right to opt out of automated decision making in defined circumstances.^{^[49]} Further, the development of technological solutions to address the dilemma between AI and the need for access to larger quantities of data for multiple purposes and privacy should be emphasized.

Discrimination Law

A growing area of research globally is the social consequences of AI with a particular focus on its tendency to replicate or amplify existing and structural inequalities. Problems such as data invisibility of certain excluded groups,^{^[50]} the myth of data objectivity and neutrality,^{^[51]} and data monopolization^{^[52]} contribute to the disparate impacts of big data and AI. So far much of the research on this subject has not moved beyond the exploratory phase as is reflected in the reports released by the White House^{^[53]} and Federal Trade Commission^{^[54]} in the United States. The biggest challenge in addressing discriminatory and disparate impacts of AI is ascertaining “where value-added personalization and segmentation ends and where harmful discrimination begins.”^{^[55]}

Some prominent cases where AI can have discriminatory impact are denial of loans based on attributes such as neighbourhood of residence as a proxies which can be used to circumvent anti-discrimination laws which prevent adverse determination on the grounds of race, religion, caste or gender, or adverse findings by predictive policing against persons who are unfavorably represented in the structurally biased datasets used by the law enforcement agencies. There is a dire need for disparate impact regulation in sectors which see the emerging use of AI.

Similar to disparate impact regulation, developments in AI, and its utilisation, especially in credit rating, or risk assessment processes could create complex problems that cannot be solved only by the principle based regulation. Instead, regulation intended specifically to avoid outcomes that the regulators feel are completely against the consumer, could be an additional tool that increases the fairness, and effectiveness of the system.

Competition Law

The conversation of use of competition or antitrust laws to govern AI is still at an early stage. However, the emergence of numerous data driven mergers or acquisitions such as Yahoo-Verizon, Microsoft-LinkedIn and Facebook-WhatsApp have made it difficult to ignore the potential role of competition law in the governance of data collection and processing practices. It is important to note that the impact of Big Data goes far beyond digital markets and the mergers of companies such as Bayer, Climate Corp and Monsanto shows that data driven business models can also lead to the convergence of companies from completely different sectors as well. So far, courts in Europe have looked at questions such as the impact of combination of databases on competition^{^[56]} and have held that in the context of merger control, data can be a relevant question if an undertaking achieves a dominant position through a merger, making it capable of gaining further market power through increased amounts of customer data. The evaluation of the market advantages of specific datasets has already been done in the past, and factors which have been deemed to be relevant have included whether the dataset could be replicated under reasonable conditions by competitors and whether the use of the dataset was likely to result in a significant competitive advantage.^{^[57]} However, there are limited circumstances in which big data meets the four traditional criteria for being a barrier to entry or a source of sustainable competitive advantage — inimitability, rarity, value, and non-substitutability.^{^[58]}

Any use of competition law to curb data-exclusionary or data-exploitative practices will first have to meet the threshold of establishing capacity for a firm to derive market power from its ability to sustain datasets unavailable to its competitors. In this context the peculiar ways in which network effects, multi-homing practices and how dynamic the digital markets are, are all relevant factors which could have both positive and negative impacts on competition. There is a need for greater discussion on data as a sources of market power in both digital and non-digital markets, and how this legal position can used to curb data monopolies, especially in light of government backed monopolies for identity verification and payments in India.

Consumer Protection Law

The Consumer Protection Bill, 2015, tabled in the Parliament towards the end of the monsoon session has introduced an expansive definition of the term “unfair trade practices.” The definition as per the Bill includes the disclosure “to any other person any personal information given in confidence by the consumer.” This clause excludes from the scope of unfair trade practices, disclosures under provisions of any law in force or in public interest. This provision could have significant impact on the personal data protection law in India. Alongside, there is also a need to ensure that principles such as safeguarding consumers personal information in order to ensure that the same is not used to their detriment are included within the definition of unfair trade practices. This would provide consumers an efficient and relatively speedy forum to contest adverse impacts on them of data driven decision-making.

Sectoral Regulation

Our research into sectoral case studies revealed that there are a number of existing sectoral laws and policies that are applicable to aspects of AI. For example, in the health sector there is the Medical Council Professional Conduct, Etiquette, and Ethics Regulations 2002, the Electronic Health Records Standards 2016, the draft Medical Devices Rules 2017, the draft Digital Information Security in Healthcare Act. In the finance sector there is the Credit Information Companies (Regulation) Act 2005 and 2006, the Securities and Exchange Board of India (Investment Advisers) Regulations, 2013, the Payment and Settlement Systems Act, 2007, the Banking Regulations Act 1949, SEBI guidelines on robo advisors etc. Before new regulations, guidelines etc are developed - a comprehensive exercise needs to be undertaken at a sectoral level to understand if 1. sectoral policy adequately addresses the changes being brought about by AI 2. If it does not - is an amendment possible and if not - what form of policy would fill the gap.

Principled approach

Transparency

Audits

Internal and external audits can be mechanisms towards creating transparency about the processes and results of AI solutions as they are implemented in a specific context. Audits can take place while a solution is still in ‘pilot’ mode and on a regular basis during implementation. For example, in the Payment Card Industry (PCI) tool, transparency is achieved through frequent audits, the results of which are simultaneously and instantly transmitted to the regulator and the developer. Ideally parts of the results of the audit are also made available to the public, even if the entire results are not shared.

Tiered Levels of Transparency

There are different levels and forms of transparency as well as different ways of achieving the same. The type and form of transparency can be tiered and dependent on factors such as criticality of function, potential direct and indirect harm, sensitivity of data involved, actor using the solution . The audience can also be tiered and could range from an individual user to senior level positions, to oversight bodies.

Human Facing Transparency

It will be important for India to define standards around human-machine interaction including the level of transparency that will be required. Will chatbots need to disclose that they are chatbots? Will a notice need to be posted that facial recognition technology is used in a CCTV camera? Will a company need to disclose in terms of service and privacy policies that data is processed via an AI driven solution? Will there be a distinction if the AI takes the decision autonomously vs. if the AI played an augmenting role? Presently, the Niti Aayog paper has been silent on this question.

Explainability

An explanation is not equivalent to complete transparency. The obligation of providing an explanation does not mean that the developer should necessarily know the flow of bits through the AI system. Instead, the legal requirement of providing an explanation requires an ability to explain how certain parameters may be utilised to arrive at an outcome in a certain situation.

Doshi-Velez and Kortz have highlighted two technical ideas that may enhance a developer's ability to explain the functioning of AI systems:^{^[59]}

1) Differentiation and processing: AI systems are designed to have the inputs differentiated and processed through various forms of computation-in a reproducible and robust manner. Therefore, developers should be able to explain a particular decision by examining the inputs in an attempt to determine which of them have the greatest impact on the outcome.

2) Counterfactual faithfulness: The second property of counterfactual faithfulness enables the developer to consider which factors caused a difference in the outcomes. Both these solutions can be deployed without necessarily knowing the contents of black boxes. As per Pasquale, ‘Explainability matters because the process of reason-giving is intrinsic to juridical determinations – not simply one modular characteristic jettisoned as anachronistic once automated prediction is sufficiently advanced.”^{^[60]}

Rules based system applied contextually

Oswald et al have suggested two proposals that might mitigate algorithmic opacity.by designing a broad rules-based system, whose implementation need to be applied in a context-specific manner which thoroughly evaluates the key enablers and challengers in each specific use case.^{^[61]}

Experimental proportionality was designed to enable the courts to make proportionality determinations of an algorithm at the experimental stage even before the impacts are fully realised in a manner that would enable them to ensure that appropriate metrics for performance evaluation and cohesive principles of design have been adopted. In such cases they recommend that the courts give the benefit of the doubt to the public sector body subject to another hearing within a stipulated period of time once data on the impacts of the algorithm become more readily available.
‘ALGO-CARE' calls for the design of a rules-based system which ensures that the algorithms^{^[62]} are:

(1) Advisory: Algorithms must retain an advisory capacity that augments existing human capability rather than replacing human discretion outright;

(2) Lawful: Algorithm's proposed function, application, individual effect and use of datasets should be considered in symbiosis with necessity, proportionality and data minimisation principles;

(3) Granularity: Issues such as data analysis issues such as meaning of data, challenges stemming from disparate tracts of data, omitted data and inferences should be key points in the implementation process;

(4) Ownership: Due regard should be given to intellectual property ownership but in the case of algorithms used for governance, it may be better to have open source algorithms at the default. Regardless of the sector,the developer must ensure that the algorithm works in a manner that enables a third party to investigate the workings of the algorithm in an adversarial judicial context.

(5)Challengeable:The results of algorithmic analysis should be applied with regard to professional codes and regulations and be challengeable. In a report evaluating the NITI AAYOG Discussion Paper, CIS has argued that AI that is used for governance , must be made auditable in the public domain,if not under Free and Open Source Software (FOSS)-particularly in the case of AI that has implications for fundamental rights.^{^[63]}

(6) Accuracy: The design of the algorithm should check for accuracy;

(7) Responsible: Should consider a wider set of ethical and moral principles and the foundations of human rights as a guarantor of human dignity at all levels and

(8) Explainable: Machine Learning should be interpretable and accountable.

A rules based system like ALGO-CARE can enable predictability in use frameworks for AI. Predictability compliments and strengthens transparency.

Accountability

Conduct Impact Assessment

There is a need to evolve Algorithmic Impact Assessment frameworks for the different sectors in India, which should address issues of bias, unfairness and other harmful impacts of use of automated decision making. AI is a nascent field and the impact of the technology on the economy, society, etc. is still yet to be fully understood. Impact assessment standards will be important in identifying and addressing potential or existing harms and could potentially be more important in sectors or uses where there is direct human interaction with AI or power dimensions - such as in healthcare or use by the government. A 2018 Report by the AI Now Institute lists methods that should be adopted by the government for conducting his holistic assessment^{^[64]}: These should include: (1) Self-assessment by the government department in charge of implementing the technology, (2)Development of meaningful inter-disciplinary external researcher review mechanisms, (3) Notice to the public regarding self-assessment and external review, (4)Soliciting of public comments for clarification or concerns, (5) Special regard to vulnerable communities who may not be able to exercise their voice in public proceedings. An adequate review mechanism which holistically evaluates the impact of AI would ideally include all five of these components in conjunction with each other.

Regulation of Algorithms

Experts have voiced concerns about AI mimicking human prejudices due to the biases present in the Machine Learning algorithms. Scientists have revealed through their research that machine learning algorithms can imbibe gender and racial prejudices which are ingrained in language patterns or data collection processes. Since AI and machine algorithms are data driven, they arrive at results and solutions based on available
and historical data. When this data itself is biased, the solutions presented by the AI will also be biased. While this is inherently discriminatory, scientists have provided solutions to rectify these biases which can occur at various stages by introducing a counter bias at another stage. It has also been suggested that data samples should be shaped in such a manner so as to minimise the chances of algorithmic bias. Ideally regulation of algorithms could be tailored - explainability, traceability, scrutability. We recommend that the national strategy on AI policy must take these factors into account and combination of a central agency driving the agenda, and sectoral actors framing regulations around specific uses of AI that are problematic and implementation is required.

As the government begins to adopt AI into governance - the extent to which and the circumstances autonomous decision making capabilities can be delegated to AI need to be questioned. Questions on whether AI should be autonomous, should always have a human in the loop, and should have a ‘kill-switch’ when used in such contexts also need to be answered. A framework or high level principles can help to guide these determinations. For example:

Modeling Human Behaviour: An AI solution trying to model human behaviour, as in the case of judicial decision-making or predictive policing may need to be more regulated, adhere to stricter standards, and need more oversight than an algorithm that is trying to predict ‘natural’ phenomenon such as traffic congestion or weather patterns.
Human Impact: An AI solution which could cause greater harm if applied erroneously-such as a robot soldier that mistakenly targets a civilian requires a different level and framework of regulation than an AI solution designed to create a learning path for a student in the education sector and errs in making an appropriate assessment..
Primary User: AI solutions whose primary users are state agents attempting to discharge duties in the public interest such as policemen, should be approached with more caution than those used by individuals such as farmers getting weather alerts

Fairness

It is possible to incorporate broad definitions of fairness into a wide range of data analysis and classification systems.^{^[65]} While there can be no bright-line rules that will necessarily enable the operator or designer of a Machine Learning System to arrive at an ex ante determination of fairness, from a public policy perspective, there must be a set of rules or best practices that explain how notions of fairness should be utilised in the real world applications of AI-driven solutions.^{^[66]} While broad parameters should be encoded by the developer to ensure compliance with constitutional standards, it is also crucial that the functioning of the algorithm allows for an ex-post determination of fairness by an independent oversight body if the impact of the AI driven solution is challenged.

Further, while there is no precedent on this anywhere in the world, India could consider establishing a Committee entrusted with the specific task of continuously evaluating the operation of AI-driven algorithms. Questions that the government would need to answer with regard to this body include:

What should the composition of the body be?
What should be the procedural mechanisms that govern the operation of the body?
When should the review committee step in? This is crucial because excessive review may re-entrench the bureaucracy that the AI driven solution was looking to eliminate.
What information will be necessary for the review committee to carry out its determination? Will there be conflicts with IP, and if so how will these be resolved?
To what degree will the findings of the committee be made public?
What powers will the committee have? Beyond making determinations, how will these be enforced?

Market incentives

Standards as a means to address data issues

With digitisation of legacy records and the ability to capture more granular data digitally, one of the biggest challenges facing Big Data is a lack of standardised data and interoperability frameworks. This is particularly true in the healthcare and medicine sector where medical records do not follow a clear standard, which poses a challenge to their datafication and analysis. The presence of developed standards in data management and exchange, interoperable Distributed Application Platform and Services, Semantic related standards for markup, structure, query, semantics, Information access and exchange have been spoken of as essential to address the issues of lack of standards in Big Data.^{^[67]}

Towards enabling usability of data, it is important that clear data standards are established. This has been recognized by Niti Aayog in its National Strategy for AI. On one hand, there can operational issues with allowing each organisation to choose their own specific standards to operate under, while on the other hand, non-uniform digitisation of data will also cause several practical problems, most primarily to do with interoperability of the individual services, as well as their usability. For instance, in the healthcare sector, though India has adopted an EHR policy, implementation of this policy is not yet harmonized - leading to different interpretations of ‘digitizing records (i.e taking snapshots of doctor notes), retention methods and periods, and comprehensive implementation across all hospital data. Similarly, while independent banks and other financial organisations are already following, or in the process of developing internal practices,there exist no uniform standards for digitisation of financial data. As AI development, and application becomes more mainstream in the financial sector, the lack of a fixed standard could create significant problems.

Better Design Principles in Data Collection

An enduring criticism of the existing notice and consent framework has been that long, verbose and unintelligible privacy notices are not efficient in informing individuals and helping them make rational choices. While this problem predates Big Data, it has only become more pronounced in recent times, given the ubiquity of data collection and implicit ways in which data is being collected and harvested. Further, constrained interfaces on mobile devices, wearables, and smart home devices connected in an Internet of Things amplify the usability issues of the privacy notices. Some of the issues with privacy notices include Notice complexity, lack of real choices, notices decoupled from the system collecting data etc. An industry standard for a design approach to privacy notices which includes looking at factors such as the timing of the notice, the channels used for communicating the notices, the modality (written, audio, machine readable, visual) of the notice and whether the notice only provides information or also include choices within its framework, would be of great help. Further, use of privacy by design principles can be done not just at the level of privacy notices but at each step of the information flow, and the architecture of the system can be geared towards more privacy enhanced choices.

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AI in India a Policy Agenda

elonnai — 2018-09-05T15:26:08Z

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