Centre for Internet and Society

The soon-to-be launched Aadhaar Pay will let you make purchases using your fingerprint

praskrishna — 2017-01-16T03:14:22Z

Paying for your groceries and other goods by using your biometrics instead of an e-wallet, debit card or cash seems to be the next phase in the Centre’s ambitious push to shift the country to a “less cash” economy, as its mandarins term it.

The article by Indulekha Aravind was published in the Economic Times on 15 January 2017. Sunil Abraham was consulted for this.

Ajay Bhushan Pandey, CEO of the Unique Identification Authority of India (UIDAI), says it will be rolling out Aadhaar-enabled payment system, or Aadhaar Pay, for merchants in the next few weeks. This will be an app for merchants that enables them to receive payments through biometric authentication of the customer, provided their bank accounts are linked to their Aadhaar number. "A pilot is under way in fair price shops in Andhra Pradesh where shopkeepers are accepting payments from PDS beneficiaries. The results are very encouraging," says Pandey.

The idea takes off from the existing Aadhaar-enabled payment system (AEPS) used by bank business correspondents (BCs) in rural areas to disburse and accept cash, using micro ATMs. "We are trying to tweak this so that a similar device can be used by a local merchant," says Pandey. Adoption will depend on two factors: merchants’ acceptance of it and whether they can use an app rather than a micro ATM. The biggest advantage through this method of payment, says Pandey, is that the customer will not need a credit or debit card, or even a smartphone.

The limits for transactions using AEPS, such as the number of daily transactions, will be left to the discretion of the banks. In the long term, the AEPS will be migrated to the BHIM (Bharat Interface for Money) platform but the rollout of Aadhaar Pay will happen before that. Post demonetisation, banking BC’s number of transactions using AEPS has leapt from 4-5 lakh to 14-15 lakh, says Pandey. According to Reserve Bank of India data on electronic payment systems, the total volume of such transactions jumped from 671 million in November 2016 to 957 million in December. USSD-based payments, which can be done using a basic feature phone, are among the biggest beneficiaries: the volume rose from just 7,000 in November to 1,02,000 in December, and value of transactions from over Rs 7,000 to over Rs 1 lakh. Prepaid payment instruments — mainly mobile wallets — rose from 59 million to 88 million in the same period (and value from Rs 1,300 crore to Rs 2,100 crore).

While Aadhaar Pay is likely to ride the demonetisation wave if it is launched soon, certain concerns remain, as the list is how secure such a payment system will be. The UIDAI CEO says it is a paramount concern for the organisation, too. "We are using the latest technology to ensure the information stays encrypted end to-end, so that information is not leaked or misused. In the months to come, we will strengthen the security."

Wary About Security
Sunil Abraham, executive director of the Centre for Internet and Society, a think tank that has been analysing the Aadhaar project for six years, outlines several reasons why Aadhaar-based biometrics is inappropriate for authentication in payments, unlike card-based payments that use cryptography.

"With biometrics, there is always an error ratio. It is imprecise matching, whereas with cryptography (smart cards), there is no false positive or negative. You either have the key (PIN) or you don’t. It is also very cheap to defeat biometric authentication — even an unlettered person can do it," says Abraham. It would be easy enough, he says, to replicate someone else’s fingerprint by pressing it against lukewarm wax and filling the mould with glue to get a dummy finger. In contrast, compromising a smart card requires more cost and effort, from tech-savviness to machines such as a skimmer that will read the card. "And once you are compromised,you are compromised forever. You can’t change it, like a debit card PIN."

Using Aadhaar for authentication had proved to be a failure during the exchange of currency notes following demonetisation, he adds, pointing to how the poor and the middle class stood in queues for money while stacks of new currency were recovered from the homes of businessmen and bureaucrats. "When you have bank officials who are corrupt, giving them your biometrics is giving them more ammunition for corruption." To catch the criminals, law enforcement agencies had to resort to CCTV footage,a relatively older technology, he says. Others point out that while it may be secure, certain factors stand in the way of making biometrics-based payment authentication a large-scale success. Amrish Rau, CEO of PayU India, a payment gateway provider, cites a list of reasons why it would inevitably take off but only in 5-10 years.

"For one, the technology is not yet good enough. There are also bandwidth and data constraints in sending biometric data," says Rau. Even in more mature markets, it has yet to find widespread acceptance, he says, pointing to the slow adoption of Apple Pay and Samsung Pay in the US. "It’s not the answer today.” This is in contrast to NITI Aayog CEO Amitabh Kant’s recent remarks that cards and PoS machines would become redundant by 2020 because Indians would be making payments using their thumb (biometrics). "... my view is that in the next two and a half years, India will make all its debit cards, credit cards, all ATM machines, all PoS machines totally irrelevant,” Kant had said at a Pravasi Bharatiya Divas session in Bengaluru.

UIDAI’s Pandey is more circumspect. “I wouldn’t say who would replace what. But from the government’s side we are encouraging all modes of digital payment. India has a diverse population and some people might prefer using a card, others a wallet. Collectively, they will contribute to a less-cash society.”

For more details visit https://cis-india.org/internet-governance/news/economic-times-indulekha-aravind-january-15-2017-the-soon-to-be-launched-aadhaar-pay-will-let-you-make-purchases-using-your-fingerprint

Comments on the Report of the Committee on Digital Payments (December 2016)

Sumandro Chattapadhyay and Amber Sinha — 2017-01-12T12:32:22Z

The Committee on Digital Payments constituted by the Ministry of Finance and chaired by Ratan P. Watal, Principal Advisor, NITI Aayog, submitted its report on the "Medium Term Recommendations to Strengthen Digital Payments Ecosystem" on December 09, 2016. The report was made public on December 27, and comments were sought from the general public. Here are the comments submitted by the Centre for Internet and Society.

1. Preliminary

1.1. This submission presents comments by the Centre for Internet and Society (“CIS”) [1] in response to the report of the Committee on Digital Payments, chaired by Mr. Ratan P. Watal, Principal Advisor, NITI Aayog, and constituted by the Ministry of Finance, Government of India (“the report”) [2].

2. The Centre for Internet and Society

2.1. 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 diverse abilities, access to knowledge, intellectual property rights, openness (including open data, free and open source software, open standards, and open access), internet governance, telecommunication reform, digital privacy, and cyber-security.

2.2. CIS is not an expert organisation in the domain of banking in general and payments in particular. Our expertise is in matters of internet and communication governance, data privacy and security, and technology regulation. We deeply appreciate and are most inspired by the Ministry of Finance’s decision to invite entities from both the sectors of finance and information technology. This submission is consistent with CIS’ commitment to safeguarding general public interest, and the interests and rights of various stakeholders involved, especially the citizens and the users. CIS is thankful to the Ministry of Finance for this opportunity to provide a general response on the report.

3. Comments

3.1. CIS observes that the decision by the Government of India to withdraw the legal tender character of the old high denomination banknotes (that is, Rs. 500 Rs. 1,000 notes), declared on November 08, 2016 [3], have generated unprecedented data about the user base and transaction patterns of digital payments systems in India, when pushed to its extreme use due to the circumstances. The majority of this data is available with the National Payments Corporation of India and the Reserve Bank of India. CIS requests the authorities concerned to consider opening up this data for analysis and discussion by public at large and experts in particular, before any specific policy and regulatory decisions are taken towards advancing digital payments proliferation in India. This is a crucial opportunity for the Ministry of Finance to embrace (open) data-driven regulation and policy-making.

3.2. While the report makes a reference to the European General Data Protection Directive, it does not make a reference to any substantive provisions in the Directive which may be relevant to digital payments. Aside from the recommendation that privacy protections around the purpose limitation principle be relaxed to ensure that payment service providers be allowed to process data to improve fraud monitoring and anti-money laundering services, the report is silent on significant privacy and data protection concerns posed by digital payments services. CIS strongly warns that the existing data protection and security regulations under Information Technology (Reasonable security practices and procedures and sensitive personal data or information), Rules are woefully inadequate in their scope and application to effectively deal with potential privacy concerns posed by digital payments applications and services. Some key privacy issues that must be addressed either under a comprehensive data protection legislation or a sector specific financial regulation are listed below. The process of obtaining consent must be specific, informed and unambiguous and through a clear affirmative action by the data subject based upon a genuine choice provided along with an option to opt out at any stage. The data subjects should have clear and easily enforceable right to access and correct their data. Further, data subjects should have the right to restrict the usage of their data in circumstances such as inaccuracy of data, unlawful purpose and data no longer required in order to fulfill the original purpose.

3.3. The initial recommendation of the report is to “[m]ake regulation of payments independent from the function of central banking” (page 22). This involves a fundamental transformation of the payment and settlement system in India and its regulation. We submit that a decision regarding transformation of such scale and implications is taken after a more comprehensive policy discussion, especially involving a wider range of stakeholders. The report itself notes that “[d]igital payments also have the potential of becoming a gateway to other financial services such as credit facilities for small businesses and low-income households” (page 32). Thus, a clear functional, and hence regulatory, separation between the (digital) payments industry and the lending/borrowing industry may be either effective or desirable. Global experience tells us that digital transactions data, along with other alternative data, are fast becoming the basis of provision of financial and other services, by both banking and non-banking (payments) companies. We appeal to the Ministry of Finance to adopt a comprehensive and concerted approach to regulating, enabling competition, and upholding consumers’ rights in the banking sector at large.

3.4. The report recognises “banking as an activity is separate from payments, which is more of a technology business” (page 154). Contemporary banking and payment businesses are both are primarily technology businesses where information technology particularly is deployed intimately to extract, process, and drive asset management decisions using financial transaction data. Further, with payment businesses (such as, pre-paid instruments) offering return on deposited money via other means (such as, cashbacks), and potentially competing and/or collaborating with established banks to use financial transaction data to drive lending decisions, including but not limited to micro-loans, it appears unproductive to create a separation between banking as an activity and payments as an activity merely in terms of the respective technology intensity of these sectors. CIS firmly recommends that regulation of these financial services and activities be undertaken in a technology-agnostic manner, and similar regulatory regimes be deployed on those entities offering similar services irrespective of their technology intensity or choice.

3.5. The report highlights two major shortcomings of the current regulatory regime for payments. Firstly “the law does not impose any obligation on the regulator to promote competition and innovation in the payments market” (page 153). It appears to us that the regulator’s role should not be to promote market expansion and innovation but to ensure and oversee competition. We believe that the current regulator should focus on regulating the existing market, and the work of the expansion of the digital payments market in particular and the digital financial services market in general be carried out by another government agency, as it creates conflict of interest for the regulator otherwise. Secondly, the report mentions that Payment and Settlement Systems Act does not “focus the regulatory attention on the need for consumer protection in digital payments” and then it notes that a “provision was inserted to protect funds collected from customers” in 2015 (page 153). This indicates that the regulator already has the responsibility to ensure consumer protection in digital payments. The purview and modalities of how this function of course needs discussion and changes with the growth in digital payments.

3.6. The report identifies the high cost of cash as a key reason for the government’s policy push towards digital payments. Further, it mentions that a “sample survey conducted in 2014 across urban and rural neighbourhoods in Delhi and Meerut, shows that despite being keenly aware of the costs associated with transacting in cash, most consumers see three main benefits of cash, viz. freedom of negotiations, faster settlements, and ensuring exact payments” (page 30). It further notes that “[d]igital payments have significant dependencies upon power and telecommunications infrastructure. Therefore, the roll out of robust and user friendly digital payments solutions to unelectrified areas/areas without telecommunications network coverage, remains a challenge.” CIS much appreciates the discussion of the barriers to universal adoption and rollout of digital payments in the report, and appeals to the Ministry of Finance to undertake a more comprehensive study of the key investments required by the Government of India to ensure that digital payments become ubiquitously viable as well as satisfy the demands of a vast range of consumers that India has. The estimates about investment required to create a robust digital payment infrastructure, cited in the report, provide a great basis for undertaking studies such as these.

3.7. CIS is very encouraged to see the report highlighting that “[w]ith the rising number of users of digital payment services, it is absolutely necessary to develop consumer confidence on digital payments. Therefore, it is essential to have legislative safeguards to protect such consumers in-built into the primary law.” We second this recommendation and would like to add further that financial transaction data is governed under a common data protection and privacy regime, without making any differences between data collected by banking and non-banking entities.

3.8. We are, however, very discouraged to see the overtly incorrect use of the word “Open Access” in this report in the context of a payment system disallowing service when the client wants to transact money with a specific entity [4]. This is not an uncommon anti-competitive measure adopted by various platform players and services providers so as to disallow users from using competing products (such as, not allowing competing apps in the app store controlled by one software company). The term “Open Access” is not only the appropriate word to describe the negation of such anti-competitive behaviour, its usage in this context undermines its accepted meaning and creates confusion regarding the recommendation being proposed by the report. The closest analogy to the recommendation of the report would perhaps be with the principle of “network neutrality” that stands for the network provider not discriminating between data packets being processed by them, either in terms of price or speed.

3.9. A major recommendation by the report involves creation of “a fund from savings generated from cash-less transactions … by the Central Government,” which will use “the trinity of JAM (Jan Dhan, Adhaar, Mobile) [to] link financial inclusion with social protection, contributing to improved Social and Financial Security and Inclusion of vulnerable groups/ communities” (page 160-161). This amounts to making Aadhaar a mandatory ID for financial inclusion of citizens, especially the marginal and vulnerable ones, and is in direct contradiction to the government’s statements regarding the optional nature of the Aadhaar ID, as well as the orders by the Supreme Court on this topic.

3.10. The report recommends that “Aadhaar should be made the primary identification for KYC with the option of using other IDs for people who have not yet obtained Aadhaar” (page 163) and further that “Aadhaar eKYC and eSign should be a replacement for paper based, costly, and shared central KYC registries” (page 162). Not only these measures would imply making Aadhaar a mandatory ID for undertaking any legal activity in the country, they assume that the UIDAI has verified and audited the personal documents submitted by Aadhaar number holders during enrollment. A mandate for replacement of the paper-based central KYC agencies will only remove a much needed redundancy in the the identity verification infrastructure of the government.

3.11. The report suggests that “[t]ransactions which are permitted in cash without KYC should also be permitted on prepaid wallets without KYC” (page 164-165). This seems to negate the reality that physical verification of a person remains one of the most authoritative identity verification process for a natural person, apart from DNA testing perhaps. Thus, establishing full equivalency of procedure between a presence-less transaction and one involving a physically present person making the payment will only amount to removal of relatively greater security precautions for the former, and will lead to possibilities of fraud.

3.12. In continuation with the previous point, the report recommends promotion of “Aadhaar based KYC where PAN has not been obtained” and making of “quoting Aadhaar compulsory in income tax return for natural persons” (page 163). Both these measures imply a replacement of the PAN by Aadhaar in the long term, and a sharp reduction in growth of new PAN holders in the short term. We appeal for this recommendation to be reconsidered as integration of all functionally separate national critical information infrastructures (such as PAN and Aadhaar) into a single unified and centralised system (such as Aadhaar) engenders massive national and personal security threats.

3.13. The report suggest the establishment of “a ranking and reward framework” to recognise and encourage for the best performing state/district/agency in the proliferation of digital payments. It appears to us that creation of such a framework will only lead to making of an environment of competition among these entities concerned, which apart from its benefits may also have its costs. For example, the incentivisation of quick rollout of digital payment avenues by state government and various government agencies may lead to implementation without sufficient planning, coordination with stakeholders, and precautions regarding data security and privacy. The provision of central support for digital payments should be carried out in an environment of cooperation and not competition.

3.14. CIS welcomes the recommendation by the report to generate greater awareness about cost of cash, including by ensuring that “large merchants including government agencies should account and disclose the cost of cash collection and cash payments incurred by them periodically” (page 164). It, however, is not clear to whom such periodic disclosures should be made. We would like to add here that the awareness building must simultaneously focus on making public how different entities shoulder these costs. Further, for reasons of comparison and evidence-driven policy making, it is necessary that data for equivalent variables are also made open for digital payments - the total and disaggregate cost, and what proportion of these costs are shouldered by which entities.

3.15. The report acknowledges that “[t]oday, most merchants do not accept digital payments” and it goes on to recommend “that the Government should seize the initiative and require all government agencies and merchants where contracts are awarded by the government to provide at-least one suitable digital payment option to its consumers and vendors” (page 165). This requirement for offering digital payment option will only introduce an additional economic barrier for merchants bidding for government contracts. We appeal to the Ministry of Finance to reconsider this approach of raising the costs of non-digital payments to incentivise proliferation of digital payments, and instead lower the existing economic and other barriers to digital payments that keep the merchants away. The adoption of digital payments must not lead to increasing costs for merchants and end-users, but must decrease the same instead.

3.16. As the report was submitted on December 09, 2016, and was made public only on December 27, 2016, it would have been much appreciated if at least a month-long window was provided to study and comment on the report, instead of fifteen days. This is especially crucial as the recently implemented demonetisation and the subsequent banking and fiscal policy decisions taken by the government have rapidly transformed the state and dynamics of the payments system landscape in India in general, and digital payments in particular.

Endnotes

[1] See: http://cis-india.org/.

[2] See: http://finmin.nic.in/reports/Note-watal-report.pdf and http://finmin.nic.in/reports/watal_report271216.pdf.

[3] See: http://finmin.nic.in/cancellation_high_denomination_notes.pdf.

[4] Open Access refers to “free and unrestricted online availability” of scientific and non-scientific literature. See: http://www.budapestopenaccessinitiative.org/read.

For more details visit https://cis-india.org/internet-governance/blog/comments-on-the-report-of-the-committee-on-digital-payments-dec-2016

How private companies are using Aadhaar to try to deliver better services (but there's a catch)

praskrishna — 2016-12-23T02:04:59Z

They are gathering more information on you.

The article by M. Rajshekhar was published in Scroll.in on December 22, 2016. Sunil Abraham was quoted.

In 2006, Ajay Trehan set up AuthBridge, a background verification company in Gurgaon. That was a time when business process outsourcing was booming. Global companies like Citibank were relocating back-office functions to India. Outfits like AuthBridge sprang up in response to help these companies find qualified staffers. They vetted applicants by running identity checks, verifying education and employment records, doing reference checks and more.

Ten years later, AuthBridge’s client profile has changed. With rising insecurity over crimes in India’s cities, like the December 2012 gangrape in Delhi, or the rape of a young woman in an Uber taxi in 2014, local companies – sizeably from e-commerce and businesses with delivery services – have also started vetting employees and partners to check if they have any criminal history. “Now, we have about 700-800 clients,” said Trehan. “Of them, just 20%-30% are foreign companies.”

AuthBridge’s verification process has changed too. Earlier, its employees used to physically verify the credentials of an applicant by travelling to her school or college, meeting her previous employer, vetting her identity papers with the government department that issued them, and so on.

Now they simply run a query on an electronic database.

Aadhaar enters the private sector

Aadhaar, as India’s Unique Identity Project is called, aims to give a 12-digit unique identity number to all residents by collecting their fingerprint and iris scans. As of September, its database, maintained by the Unique Identity Authority of India, held the names, addresses and biometric information of more than 105 crore people.

The project was created by the United Progressive Alliance government in 2009 to reduce leakages in the country’s welfare programmes.

But, quietly, a range of private sector companies have started using it. This includes verification firms like Authbridge, banks like HDFC, telecommunications companies like Reliance Jio, among others.

So far, most discussions on Aadhaar have focused on its utility for welfare delivery and the risk of government surveillance. But as private sector companies incorporate Aadhaar into their systems, fresh questions and concerns are emerging about what this means. A recent tweet by a journalist that went viral encapsulated these concerns.

To understand the rewards and risks of the use of Aadhaar by private companies, here is a detailed look at how they are using it.

Five ways of using Aadhaar

The first way in which companies are using Aadhaar is pure authentication. This is how Authbridge uses Aadhaar. It sends a name and Aadhaar number to the Unique Identity Authority’s server, which responds to say whether they have matched.

Apart from background verification companies, Aadhaar-based authentication can also be used by employers. “A factory hiring women or a security agency hiring guards and wanting to be sure these people are who they claim to be,” said Pramod Varma, the chief architect and technology advisor for the Aadhaar project.

It could also be used by regulated entities with strong Know Your Customer or KYC norms like banks or telecommunications companies. In the old days of branch-based banking, KYC was not a problem, said Varma, since “the bank manager knew all his customers”. But now, KYC is much harder since banks have moved to “core banking with millions of accounts in the server”. Instant Aadhaar-authentication, he said, is useful for verifying customers.

The second is authentication plus. Here, at the time of authentication, a company also downloads the customer’s data from the Aadhaar database. This is what companies like Reliance Jio are doing.

When a customer provides his Aadhaar number to the company, the company not only runs a query on the Aadhaar database to verify the name and number, it also downloads other information about the customer held on the server, like address, date of birth and gender.

This data can be used to electronically fill out the Know Your Customer forms, replacing what is right now a manual process, said Anupam Varghese, the head (products) of Eko India Financial Services, a financial services startup in the phone banking and remittances segment.

It is a disruptive proposition that companies find useful. In India, the cost of enrolling customers is so high, said Abhishek Sinha, the founder of Eko, that it prices a set of financial products beyond the reach of most Indians. “Authenticating a credit card customer and vetting her identity papers will cost anywhere between Rs 150-Rs 200,” he said. A company can recover that investment only if the customer racks up at least Rs 10,000 on the card, assuming a 2% margin on card transactions.

With its instant authentication and automatic form filling, Aadhaar-based electronic Know Your Customer, said Sinha, slashes those costs and makes it easier for companies to offer financial products which become viable even with a smaller volume of transactions. This allows the growth of financial products for less affluent customer segments.

Subsequently, these companies might pad up those databases by adding their own data. This is a third model of using Aadhaar: authentication plus private database.

For instance, TrustID, a mobile app which claims it can verify “your maid, driver, electrician, tutor, tenant and all service professionals” using Aadhaar, wants users to rate the services of the people they eventually employ. In effect, it is creating a private database.

Others, like Eko, are adding financial transaction histories to the Aadhaar data.

While these three uses are built around Aadhaar-based authentication, the remaining three uses – database sharing, data broking, deduplication – pivot around use of just the Aadhaar number. They are based on recent changes in how companies use customer data.

The customer data boom

Customer data has acquired centrality for several Indian companies, particularly startups in e-commerce and financial services.

In some sectors, Varma said, “the cost of switching [between rival companies] is very low,” which heightens the need for customisation. “The better you can serve, they more sticky you get for a customer.” In other sectors, said Varghese, competition chips away at margins. Which is another reason to try and come up with better services and products.

This is where data can help.

In a conversation in October, Nandan Nilekani, software entrepreneur and the first chairperson of the Unique Identity Authority of India, explained why. “Companies like Ola compete with global companies like Uber which have a tremendous advantage in that they have more data – more customers globally – and better algorithms,” he said. If Ola has 5 million customers, Uber has 100 million. Which means Uber’s algorithms – thanks to pattern recognition and machine learning – will be more accurate.

For all these reasons, said Varma, companies in a handful of business verticals are trying to create “a 360 degree view of their customer”.

What has enabled this is a couple of technological trends. The ability to store and process data, said Nilekani, has gone up enormously in the last 15 years. At the same time, data itself has proliferated as electronic devices like mobile phones create records of voice, photos, messages and the locations of customers.

“All this is realtime data. So, on scale, speed and frequency, we have seen a jump,” said Nilekani.

This rising appetite for data is resulting in a couple of novel outcomes.

Enter, the sharing of customer data

Indian companies have begun sharing databases.

A good example is an experimental partnership between Eko, the banking and remittances company, and Capital Float, a financial services startup which gives short term loans.

The two companies worked out an arrangement where Eko shared a part of its database about its distributors with Capital Float. This shared information contained aggregated and anonymised information on distributors and their working capital positions, said Varghese. Capital Float evaluated the database and came back with a list of distributors it could lend to. Eko, then, forwarded these offers to the distributors. After taking their consent, data about the distributors who were interested in the loans was shared with Capital Float.

On the surface, this is a counter-intuitive development: if customer data holds the key to competitive advantage, companies should closely safeguard their data.

But as it turns out, there are strong reasons to share data.

Both Eko and Capital Float, for instance, are small, specialised players in the financial services market which is dominated by banks. Data sharing is one way to compete with banks by offering complementary services to customers.

It is not clear how endemic data-sharing will get. According to Varma, it will be used selectively. “I cannot see organisations sharing databases at will,” he said. “They will be shared only if they can be used to offer an additional service to the client.”

But a programmer who works at iSpirt, a product software evangelising association based in Bangalore, and who did not want to be identified, said the trend will grow. In the financial sector, as new players like mobile wallet companies acquire more customers, banks that refuse to share data will miss out on emergent markets, he said. “Keeping everything behind closed doors – not participating in data exchanges – is now harmful,” he said.

Sunil Abraham, who heads the Centre For Internet and Society, foresees the rise of another kind of data-sharing – by companies that aggregate customer data from multiple sources and market that to clients. These could be data brokers like US-based Acziom, he said. These could also be more specialised firms like medical transcription companies, which simultaneously serve hospitals, insurance and pharmaceutical companies.

The question is: what does all this have to do with Aadhaar?

The utility of Aadhaar

Aadhaar makes it easier to compare and combine diverse databases.

This is what India’s microfinance companies are doing. As Scroll.in reported recently, Microfinance Institutions Network, an association of microlenders, has told its member companies to seed the Aadhaar numbers of their borrowers into their databases. By searching the databases for the Aadhaar number of a prospective borrower, it will be possible to identify if she has already taken too many loans.

This is a scenario Nilekani bristles at. “You do not need Aadhaar for that,” he said. “You can triangulate databases using email or phone number or name.”

But the iSpirt programmer said, “With Aadhaar, the level of certainty is higher than what you would get by using name, phone number or email.” Between databases, the spelling of names might vary. Phone numbers change, especially in a country like India where prepaid mobile connections outnumber postpaid connections. Only a small part of the country’s population uses email. With Aadhaar, said the programmer, it gets easier to correlate databases.

Aadhaar, added Varma, can also be used to clean up databases. Banks, he said, can use the Aadhaar number to create better customer profiles by identifying all accounts owned by a person. This is the fifth use – deduplication.

What it all means

The implications are obvious. A lot of companies already had databases about their customers. Now, as Nilekani said, technology is allowing the collection of ever greater amounts of information about us. The sharing of databases means companies will have ever more detailed customer profiles.

In a sense, we are entering a future where multiple databases – including several that we are not even aware of – will contain information about us. A hospital and an insurance company might share their records. Or intermediary companies, which service both of them, might create their own databases.

This information will materially affect our lives. As already happens online, companies will increasingly base their products on algorithms that parse data about our behaviour and then offer a customised price – which could be geared to serve or exploit us.

These algorithms, as Propublica reported, can be opaque.

In a sense, much of this is a familiar trajectory. The United States too, as the iSpirt programmer said, “saw a lot of irresponsible data sharing without enough control for civilians”.

That is where India is heading as well. As Scroll noted in its article about TrustID, when the company creates scores for the workers who use its app, they might not always be aware of that rating – or be in a position to challenge that rating.

There are large questions here. Who owns the data about you in a company’s database? Take your information in, say, Ola’s database – the address from where you get picked up or dropped, the phone number, the places you visit most often. Is the data owned by you, Ola or the driver? Should you have a say if a company wants to share this data? If you grant permission, how does one ensure it is used correctly?

Right now, as the next story in this series will show, this is a poorly regulated landscape.

This is the third part in a series on the expansion of Aadhaar and the concerns around it. The first two parts can be read here.

We welcome your comments at letters@scroll.in.

For more details visit https://cis-india.org/internet-governance/news/scroll-m-rajshekhar-how-private-companies-are-using-aadhaar-to-deliver-better-services-but-theres-a-catch

Workshop Report - UIDAI and Welfare Services: Exclusion and Countermeasures

vanya — 2019-03-16T04:34:11Z

This report presents summarised notes from a workshop organised by the Centre for Internet and Society (CIS) on Saturday, August 27, 2016, to discuss, raise awareness of, and devise countermeasures to exclusion due to implementation of UID-based verification for and distribution of welfare services.

Introduction

The Centre for Internet and Society organised a workshop on "UIDAI and Welfare Services: Exclusion and Countermeasures" at the Institution of Agricultural on Technologists on August 27 in Bangalore to discuss, raise awareness of, and devise countermeasures to exclusion due to implementation of UID-based verification for and distribution of welfare services [1]. This was a follow-up to the workshop held in Delhi on “Understanding Aadhaar and its New Challenges” at the Centre for Studies in Science Policy, JNU on May 26th and 27th 2016 [2]. In this report we summarise the key concerns raised and the case studies presented by the participants at the workshop held on August 27, 2016.

Implementation of the UID Project

Question of Consent: The Aadhaar Act [3] states that the consent of the individual must be taken at the time of enrollment and authentication and it must be informed to him/her the purpose for which the data would be used. However, the Act does not provide for an opt-out mechanism and an individual is compelled to give consent to continue with the enrollment process or to complete an authentication.

Lack of Adherence to Court Orders: Despite of several orders by Supreme Court stating that use of Aadhaar cannot be made mandatory for the purpose of availing benefits and services, multiple state governments and departments have made it mandatory for a wide range of purposes like booking railway tickets [4], linking below the poverty line ration cards with Aadhaar [5], school examinations [6], food security, pension and scholarship [7], to name a few.

Misleading Advertisements: A concern was raised that individuals are being mislead in the necessity and purpose for enrollment into the project. For example, people have been asked to enrol by telling them that they might get excluded from the system and cannot get services like passports, banks, NREGA, salaries for government employees, denial of vaccinations, etc. Furthermore, the Supreme Court has ordered Aadhaar not be mandatory, yet people are being told that documentation or record keeping cannot be done without UID number.

Hybrid Governance: The participants pointed out that with the Aadhaar (Targeted delivery of financial and other subsidies, benefits and services) Act, 2016 (hereinafter referred to as Aadhaar Act, 2016 ) being partially enforced, multiple examples of exclusion as reported in the news are demonstrating how the Aadhaar project is creating a case of hybrid governance i.e private corporations playing a significant role in Governance. This can be seen in case of Aadhaar where we see many entities from private sector being involved in its implementation, as well as many software and hardware companies.

Lack of Transparency around Sharing of Biometric Data: The fact how and why the Government is relying on biometrics for welfare schemes is unclear and not known. Also, there is no information on how biometric data that is collected through the project is being used and its ability as an authenticating device. Along with that, there is very little information on companies that have been enlisted to hold and manage data and perform authentication.

Possibility of Surveillance: Multiple petitions and ongoing cases have raised concerns regarding the possibility of surveillance, tracking, profiling, convergence of data, and the opaque involvement of private companies involved in the project.

Denial of Information: In an RTI filed by one of the participant requesting to share the key contract for the project, it was refused on the grounds under section 8(1) (d) of the RTI Act, 2005. However, it was claimed that the provision would not be applicable since the contract was already awarded and any information disclosed to the Parliament should be disclosed to the citizens. The Central Information Commission issued a letter stating that the contractual obligation is over and a copy of the said agreement can be duly shared. However, it was discovered by the said participant that certain pages of the same were missing , which contained confidential information. When this issue went before appeal before the Information Commissioner, the IC gave an order to the IC in Delhi to comply with the previous order. However, it was communicated that limited financial information may be given, but not missing pages. Also, it was revealed that the UIDAI was supposed to share biometric data with NPR (by way of a MoU), but it has refused to give information since the intention was to discontinue NPR and wanted only UIDAI to collect data.

Concerns Arising from the Report of the Comptroller and Auditor General of India (CAG) on Implementation of PAHAL (DBTL) Scheme

A presentation on the CAG compliance audit report of PAHAL on LPG [8] revealed how the society was made to believe that UID will help deal with the issue of duplication and collection as well as use of biometric data will help. The report also revealed that multiple LPG connections have the same Aadhaar number or same bank account number in the consumer database maintained by the OMCs, the bank account number of consumers were also not accurately recorded, scrutiny of the database revealed improper capture of Aadhaar numbers, and there was incorrect seeding of IFSC codes in consumer database. The participants felt that this was an example of how schemes that are being introduced for social welfare do not necessarily benefit the society, and on the contrary, has led to exclusion by design. For example, in the year 2011, by was of the The Liquefied Petroleum Gas (Regulation of Supply and Distribution) Amendment Order, 2011 [9], the Ministry of Petroleum and Natural Gas made the Unique Identification Number (UID) under the Aadhaar project a must for availing LPG refills. This received a lot of public pushback, which led to non-implementation of the order. In October 2012, despite the UIDAI stating that the number was voluntary, a number of services began requiring the provision of an Aadhaar number for accessing benefits. In September 2013, when the first order on Aadhaar was passed by court [10], oil marketing companies and UIDAI approached the Supreme Court to change the same and allow them to make it mandatory, which was refused by the Court. Later in the year 2014, use of Aadhaar for subsidies was made mandatory. The participants further criticised the CAG report for revealing the manner in which linking Aadhaar with welfare schemes has allowed duplication and led to ghost beneficiaries where there is no information about who these people are who are receiving the benefits of the subsidies. For example, in Rajasthan, people are being denied their pension as they are being declared dead due to absence of information from the Aadhaar database.

It was said that the statistics of duplication mentioned in the report show how UIDAI (as it claims to ensure de-duplication of beneficiaries) is not required for this purpose and can be done without Aadhaar as well. Also, due to incorrect seeding of Aadhaar number many are being denied subsidy where there is no information regarding the number of people who have been denied the subsidy because of this. Considering these important facts from the audit report, the discussants concluded how the statistics reflect inflated claims by UIDAI and how the problems which are said to be addressed by using Aadhaar can be dealt without it. In this context, it is important to understand how the data in the aadhaar database maybe wrong and in case of e-governance the citizens suffer. Also, the fact that loss of subsidy-not in cash, but in use of LPG cylinder - only for cooking, is ignored. In addition to that, there is no data or way to check if the cylinder is being used for commercial purposes or not as RTI from oil companies says that no ghost identities have been detected.

UID-linked Welfare Delivery in Rajasthan

One speaker presented findings on people's experiences with UID-linked welfare services in Rajasthan, collected through a 100 days trip organised to speak to people across the state on problems related to welfare governance. This visit revealed that people who need the benefits and access to subsidies most are often excluded from actual services. It was highlighted that the paperless system is proving to be highly dangerous. Some of the cases discussed included that of a disabled labourer, who was asked to get an aadhaar card, but during enrollment asked the person standing next to him to put all his 5 fingers for biometric data collection. Due to this incorrect data, he is devoid of all subsidies since the authentication fails every time he goes to avail it. He stopped receiving his entitlements. Though problems were anticipated, the misery of the people revealed the extent of the problems arising from the project. In another case, an elderly woman living alone, since she could not go for Aadhaar authentication, had not been receiving the ration she is entitled to receive for the past 8 months. When the ration shop was approached to represent her case, the dealers said that they cannot provide her ration since they would require her thumb print for authentication. Later, they found out that on persuading the dealer to provide her with ration since Aadhaar is not mandatory, they found out that in their records they had actually mentioned that she was being given the ration, which was not the case. So the lack of awareness and the fact that people are entitled to receive the benefits irrespective of Aadhaar is something that is being misused by dealers. This shows how this system has become a barrier for the people, where they are also unaware about the grievance redressal mechanism.

Aadhaar and e-KYC

In this session, the use of Aadhaar for e-KYC verification was discussed The UID strategy document describes how the idea is to link UIDAI with money enabled Direct Benefit Transfer (DBT) to the beneficiaries without any reason or justification for the same. It was highlighted by one of the participants how the Reserve Bank of India (RBI) believed that making Aadhaar compulsory for e-KYC and several other banking services was a violation of the Money Laundering Act as well as its own rules and standards, however, later relaxed the rules to link Aadhaar with bank accounts and accepted its for e-KyC with great reluctance as the Department of Revenue thought otherwise. It was mentioned how allowing opening of bank accounts remotely using Aadhaar, without physically being present, was touted as a dangerous idea. However, the restrictions placed by RBI were suddenly done away with and opening bank accounts remotely was enabled via e-KYC.

A speaker emphasised that with emerging FinTech services in India being tied with Aadhaar via India Stack, the following concerns are becoming critical:

With RBI enabling creation of bank accounts remotely, it becomes difficult to to track who did e-KYC and which bank did it and hold the same accountable.
The Aadhaar Act 2016 states that UIDAI will not track the queries made and will only keep a record of Yes/No for authentication. For example, the e-KYC to open a bank account can now be done with the help of an Aadhaar number and biometric authentication. However, this request does not get recorded and at the time of authentication, an individual is simply told whether the request has been matched or not by way of a Yes/No [11]. Though UIDAI will maintain the authentication record, this may act as an obstacle since in case the information from the aadhaar database does not match, the person would not be able to open a bank account and would only receive a yes/no as a response to the request.
Further, there is a concern that the Aadhaar Enabled Payment System being implemented by the National Payment Corporation of India (NCPI) would allow effectively hiding of source and destination of money flow, leading to money laundering and cases of bribery. This possible as NCPI maintains a mapper where each bank account is linked (only the latest one). However, Aadhaar number can be linked with multiple bank accounts of an individual. So when a transaction is made, the mapper records the transaction only from that 1 account. But if another transaction takes place with another bank account, that record is not maintained by the mapper at NCPI since it records only transactions of the latest account seeded in that. This makes money laundering easy as the money moves from aadhaar number to aadhaar number now rather than bank account to bank account.

Endnotes

[1] See: http://cis-india.org/internet-governance/events/uidai-and-welfare-services-exclusion-and-countermeasures-aug-27.

[2] See: http://cis-india.org/internet-governance/blog/report-on-understanding-aadhaar-and-its-new-challenges.

[3] See: https://uidai.gov.in/beta/images/the_aadhaar_act_2016.pdf.

[4] See: http://scroll.in/latest/816343/aadhaar-numbers-may-soon-be-compulsory-to-book-railway-tickets.

[5] See: http://www.thehindu.com/news/national/karnataka/linking-bpl-ration-card-with-aadhaar-made-mandatory/article9094935.ece.

[6] See: http://timesofindia.indiatimes.com/india/After-scam-Bihar-to-link-exams-to-Aadhaar/articleshow/54000108.cms.

[7] See: http://www.dailypioneer.com/state-editions/cs-calls-for-early-steps-to-link-aadhaar-to-ac.html.

[8] See: http://www.cag.gov.in/sites/default/files/audit_report_files/Union_Commercial_Compliance_Full_Report_25_2016_English.pdf.

[9] See: http://petroleum.nic.in/docs/lpg/LPG%20Control%20Order%20GSR%20718%20dated%2026.09.2011.pdf.

[10] See: http://judis.nic.in/temp/494201232392013p.txt.

[11] Section 8(4) of the Aadhaar Act, 2016 states that "The Authority shall respond to an authentication query with a positive, negative or any other appropriate response sharing such identity information excluding any core biometric information."

For more details visit https://cis-india.org/internet-governance/blog/workshop-report-uidai-and-welfare-services-august-27-2016

CIS Submission to TRAI Consultation Note on Model for Nation-wide Interoperable and Scalable Public Wi-Fi Networks

2016-12-12T13:59:00Z

This submission presents responses by the CIS on the Consultation Note on Model for Nation-wide Interoperable and Scalable Public Wi-Fi Networks published by the TRAI on November 15, 2016. Our analysis of the solution proposed in the Note, in brief, is that there is no need of a solution for non-existing interoperability problem for authentication and payment services for accessing public Wi-Fi networks. The proposed solution in this Note only adds to over-regulation in this sector, and does not incentivise new investment in the sector, but only establishes UIDAI and NPCI as the monopoly service providers for authentication and payment services.

The comments were authored by Japreet Grewal, Pranesh Prakash, Sharath Chandra, Sumandro Chattapadhyay, Sunil Abraham, and Udbhav Tiwari, with expert comments from Amelia Andersdotter.

1. Preliminary

1.1. This submission presents responses by the Centre for Internet and Society (“CIS”) [1] on the Consultation Note on Model for Nation-wide Interoperable and Scalable Public Wi-Fi Networks (“the Note”) published by the Telecom Regulatory Authority of India (“TRAI”) on November 15, 2016 [2].

1.2. The CIS welcomes the effort undertaken by TRAI to map regulatory and other barriers to deployment of public Wi-Fi in India. We especially appreciate that TRAI has recognised [3] two key barriers to provision of public Wi-Fi networks identified and highlighted in our earlier response to the Consultation Paper on Proliferation of Broadband through Public WiFi [4]: 1) over regulation (including, licensing requirements, data retention, and Know Your Customer policy), and 2) paucity of spectrum [5].

2. General Responses

2.1. Before responding to the specific questions posed by the Note, we would like to make the following observations.

2.2. There is no need of a solution for non-existing interoperability problem for authentication and payment services for accessing public Wi-Fi networks. The proposed solution in this Note only adds to over-regulation in this sector. The proposed solution does not incentivise new investment in the sector, but only establishes UIDAI and NPCI as the monopoly service providers for authentication and payment services.

2.3. As the TRAI has consulted widely with industry and other stakeholders before it settled on the list of priority issues contained in Section C.6 of the Note, we are surprised to find that this Note aims to address only the problem of lack of “seamless interoperable payment system for Wi-Fi networks” (Section C.6.d. Of the Note), and does not discuss and propose solutions for any other key barriers identified by the Note.

2.4. The Note fails to clarify the “interoperability” problem in the payment system for usage of public Wi-Fi networks that it is attempting to solve. The Note identifies that lack of “single standard” for “authentication and payment mechanisms” for accessing public Wi-Fi networks as a key impediment to provide scalable and interoperable public Wi-Fi networks across the country [6]. By conceptualising the problem in this manner, TRAI has bundled together two completely different concerns - authentication and payment - into one and this is at the root of the problems emanating from the proposed solution in this Note.

2.5. Lack of standard process for authentication is created by over-regulation via Know Your Customer (“KYC”) policies, and selection of eKYC service provided by UIDAI as the only acceptable authentication mechanism for all users of public Wi-Fi networks across India, creating further economic and legal challenges for smaller would-be providers of public Wi-Fi networks as they assess their liabilities and start-up costs. Additionally, since this would amount to making UID/Aadhaar enrolment mandatory for any user of public wi-fi networks, it seems to create a contradiction with previously communicated policy from the UIDAI and the Government that no such obligation should arise. Supreme Court has also mandated over successive Orders that enrolment for UID/Aadhaar number should remain optional for the citizens and residents.

2.6. As was observed by the respondents to the TRAI Consultation concluded earlier this year, there is no interoperability problem that needs to be solved regarding payments for accessing public Wi-Fi networks. Payment services continue to be evolved and payment aggregator services provided by existing companies may be expected to resolve many of the outstanding issues of service proliferation in the upcoming years, at least in the absence of additional mandatory technical measures imposed by the government. Bundling of payment with authentication will only undermine the already existing independent market for payment aggregators, and further enforce mandatoriness of UID/Aadhaar number.

2.7. Further, the payment mechanism proposed would seem to worsen difficulties for tourists and foreigners in accessing public Wi-Fi in India, as well adds an additional layer of authentication in a system already identified (even in the Note itself) to be overburdened by regulations regarding KYC and data retention. Section C.6.b of the Note highlights the problems faced by foreigners and tourists when the authentication mechanism is premised upon use of One Time Password (OTP) that requires a functioning local mobile phone number. It contradicts itself later by proposing an authentication method that requires the user to not only download an application onto their mobile/desktop device, but also to enrol for UID/Aadhaar number and/or to use their existing UID/Aadhaar number. Instead of reducing the existing barriers to provision of and access to public Wi-Fi, which the Note is supposed to achieve, it creates significant new barriers.

2.8. The technological architecture advanced by the Note upholds support of governance and surveillance projects that, in addition to being costly in their implementation and thereby slowing down the objective of getting India connected, are also of questionable value to the security of the Indian polity. UID, UPI, and related projects risk undermining cyber-security through their reliance on centralised architectures and interfere with healthy competitive market dynamics between commercial and non-commercial actors.

2.9. The Note continues to only consider and enable commercial models for the provision of public Wi-Fi networks. We have identified this as a problematic assumption in our last submission [7]. It is most crucial that TRAI does not ignore and fail to promote and facilitate the possibility of not-for-profit models that involve grassroot communities, academia, and civil society.

2.10. Last but not the least, the term “Wi-Fi” refers to a particular technology for establishing wireless local area networks. Further, the term is a trademark of the Wi-Fi Alliance [8]. It is this not a neutral term, and it must not be used as a general and universal synonym for wireless local area networks. We recommend that TRAI may consider using a technology-neutral term, say “public wireless services” or “public networking services”, to describe the sector. Following the terminology used in the Note, we have decided to continue using the term “Wi-Fi” in this response. This does not reflect our agreement about the appropriateness of this term. Important: The recommendation for technology-neutral regulation also comes with the qualification that safeguards like regulations on Listen Before Talk and Cycle Time are required to prevent technologies like LTE-U from squatting on spectrum and interfering with connections based on other standards.

3. Specific Responses

Q1. Is the architecture suggested in the consultation note for creating unified authentication and payment infrastructure will enable nationwide standard for authentication and payment interoperability?

3.1. No. The proposed infrastructure is likely to be costly for a large number of actors to implement and undermine some of the ongoing innovation in the Indian digital payment services industry. Rather than being helpful, it risks introducing additional requirements on an industry that TRAI has already identified as facing a number of large challenges.

3.2. There is no need for a unified architecture that provides nationwide standard for authentication and payment interoperability. It does not offer any incentive towards provision of public Wi-Fi networks. Neither is there an interoperability problem at the physical or data link layers that has been pointed out, nor is government mandated interoperability required at the payment or ID layer since there are private entities that provide such interoperability (like, payment aggregators). Additionally, we believe it is inappropriate that the TRAI is trying to predict the most suitable business/technological model for digital payments to be used for accessing commercial Wi-Fi networks. India has a booming online payments industry, and it must be allowed to evolve in an enabling regulatory environment that allow for competition and ensures responsible practices.

3.3. The Note identifies several structural impediments to expansion of public Wi-Fi networks in India, namely paucity of backhaul connectivity infrastructure (Section C.6.a), Inadequate associated infrastructure to offer carrier grade Wi-Fi network (Section C.6.c), dependency of authentication mechanism on pre-existing (Indian) mobile phone connection (Section C.6.b), and limited availability of spectrum to be used for public Wi-Fi networks (Section C.6.e). All these are crucial concerns and none of them have been addressed by the architecture suggested in the Note.

Q2. Would you like to suggest any alternate model?

3.4. Yes. The model proposed in the Note is likely to exclude several types of potential users (say, foreigners and tourists), and impose a single authentication and payment service provider for accessing public Wi-Fi networks, which may undermine both competition and security in the market for these services.

3.5. Internationally, there are cities and regions (say, the city of Barcelona and the Catalonia region in Spain) where public Wi-Fi networks have been provided in a pervasive and efficient manner by taking a light regulatory approach that enables opportunities for potential providers to set up their own infrastructures and additionally have access to backhaul. Further, reducing legal requirements on authentication should be considered in place of government mandated technical architectures for authentication and payment. In particular, allowing for anonymous access to Public Wi-Fi or wireless connectivity would reduce both the administrative and the technical burden on potential providers at the hyper-local level, especially for providers whose main activity it is not, and cannot be, to provide internet services (say, event venues, malls, and shops).

3.6. The CIS suggests the following steps towards conceptualising an “alternative model”:

remove existing regulatory disincentives,
urgently explore policies to promote deployment of wired infrastructures in general, and to enable a larger range of actors, including local authorities, to invest in and deploy local infrastructures by reducing licensing requirements in particular,
examine spectrum requirements for provision of public Wi-Fi, and
provide incentives, such as allowing telecom service providers to share backhaul traffic over public Wi-Fi, and ways for telecom service providers to lower their costs if they also make Internet access available for free.

Q3. Can Public Wi-Fi access providers resell capacity and bandwidth to retail users? Is “light touch regulation” using methods such as “registration” instead of “licensing” preferred for them?

3.7. CIS holds that capacity and bandwidth are neither comparable to tangible goods nor to digital currency. They are a utility, and the provider of the utility has to accept that their customers use the utility in the way they see fit, even if that use entails sharing said capacity and bandwidth with downstream private persons or customers. Wi-Fi capabilities are currently a built-in standardised feature of all consumer routers. Any individual, community, or store with access to an internet connection and a consumer router could become a public Wi-Fi access provider at no additional cost to themselves, furthering the goals of the Indian government in its Digital India strategy to ensure public and universal access to the internet.

3.8. In order to exploit the opportunities awarded by a large amount of entities in the Indian society potentially becoming Public Wi-Fi providers, TRAI should require neither registration nor licensing of these actors. Imposing administrative burdens on potential public Wi-Fi access providers creates legal uncertainty and will cause a lot of actors, who may otherwise contribute to the goals of Digital India, not to do so. This is particularly true for community organisers and citizens, who may not have access to legal assistance and therefore may avoid contributing to the goals of the government.

3.9. Light touch regulation when it comes to both granting license to public Wi-Fi access providers as well as authentication of retail users, however, are needed not only as an exceptional practice for such instances but as a general practice in case of entities offering public Wi-Fi services, either commercially or otherwise. Further, additional laxity in administrative responsibilities is needed to incentivise provision of free, that is non-commercial, public Wi-Fi networks.

Q4. What should be the regulatory guidelines on “unbundling” Wi-Fi at access and backhaul level?

3.10. The Note refers to unbundling of activities related to provision of Wi-Fi but it does not define the term. It is neither explained which specific activities at access and backhaul levels must be considered for unbundling.

3.11. While unbundling should clearly be allowed and any regulatory hurdles to unbundling should be removed, any such decision must be taken with a focus on urgently addressing the stagnated growth in landline and backhaul, as identified in Section C.6.a of the Note. Relying only on spectrum intensive infrastructures, such as mobile base stations, for providing connectivity, creates a heavy regulatory burden for the TRAI, while simultaneously not ensuring optimal connectivity for business and private users. The CIS is concerned that the focus of the Note on standardising a government-mediated authentication and payment mechanism detracts attention from this urgent obstacle to the fulfillment of the Digital India plans of accelerated provision of broadband highways, universal access, and public, especially free, access to internet services.

3.12. From the example of European telecommunications legislations, implementation of policy measures to ensure that vertical integration between infrastructure (say, cables, switches, and hubs) providers and service (say, providing a subscriber with a household modem or a SIM card) providers in the telecommunications sector does not become a barrier to new market entrants has yielded much success in countries that have pursued it, like Sweden and Great Britain.

3.13. Further, there should be no default assumption of bundling by the TRAI. In particular, the TRAI should consider reviewing all regulations that may cause bundling to occur when this is not necessary, and put in place in a monitoring mechanism for ensuring that bundled practises (especially in electronic networks, base station infrastructures, backhaul and similar) do not cause competitive problems or raise market entry barriers [9]. In most EU countries, especially where the corporate structure of incumbent(s) is not highly vertically integrated, interconnection requirements for electronic network providers of wired networks in the backhaul or backbone (effectively price regulated interconnection), and a conscious effort to ensure that new market players can enter the field, have ensured a competitive telecommunications environment. TRAI may consider reviewing the European regulation on local loop unbundling (1999) and discussions on functional separation (especially by the British regulatory authority Ofcom), within an Indian context.

Q5. Whether reselling of bandwidth should be allowed to venue owners such as shop keepers through Wi-Fi at premise? In such a scenario please suggest the mechanism for security compliance.

3.14. Yes. Venue owners should be allowed to provide public Wi-Fi service both on a commercial and non-commercial basis.

3.15. It is not clear from the Note and the question what type of security concerns the TRAI is seeking to address. In terms of payment security, the payment industry already has a large range of verification and testing mechanisms. The CIS objects to the mandatory introduction of the proposed payment system so as to ensure greater security for Wi-Fi access providers and the users.

3.16. As far as hardware-related security issues are concerned, it is again unclear why consumer equipment compliant with existing Wi-Fi standards would not be sufficiently secure in the Indian context. Wi-Fi has proven to be a sturdy technical standard, its adoption is high in multiple jurisdictions around the world, and it also enjoys great technical stability. Similar security assessments could easily be made for alternative wireless technologies, such as WiMaX.

3.17. The CIS foresees problems is in the allocation of risk and liability by law. The already existing legal obligation to verify the identity of each user, for instance, is likely to introduce a large administrative burden on potential Public Wi-Fi providers, which may lead to such potential providers abstaining from entering the market. Should the identification requirement be removed, however, other concerns pertaining to legal obligations may arise. These include liability for user activities on the web or on the internet (cf. copyright infringement, libel, hate speech). We propose a “safe harbour” mechanism in these cases, limiting the liability of the potential public Wi-Fi provider.

Q6. What should be the guidelines regarding sharing of costs and revenue across all entities in the public Wi-Fi value chain? Is regulatory intervention required or it should be left to forbearance and individual contracting?

3.18. The market segments identified by the TRAI in Section F.18 of the Note should normally all be competitive markets themselves, and so do not require regulatory assistance in sharing of costs and revenues. The more elaborate the requirements imposed on each actor of each market segment identified by the TRAI in Section F.18, the more costly the roll-out of public Wi-Fi is going to be for the market actors. Such a cost is not avoided by price regulation.

3.19. The TRAI may instead consider introducing public funding for backhaul roll-out in remote areas, where the market is unlikely to engage in such roll-out on its own. Presently, some Indian states (such as Karnataka) are committing to public funding for wireless access in remote areas. The Union Government can assist such endeavours.

Endnotes

[1] See: http://cis-india.org/.

[2] See: http://trai.gov.in/Content/ConDis/20801_0.aspx.

[3] See Section C.6 of the Note.

[4] See: http://trai.gov.in/Content/ConDis/20782_0.aspx.

[5] See: http://cis-india.org/telecom/blog/cis-submission-to-trai-consultation-on-proliferation-of-broadband-through-public-wifi-networks.

[6] See Section E.11. of the Note.

[7] See: http://cis-india.org/telecom/blog/cis-submission-to-trai-consultation-on-proliferation-of-broadband-through-public-wifi-networks.

[8] See: https://www.wi-fi.org/.

[9] See: Monitoring bundled products in the telecommunications sector is also recommended by the OECD: http://oecdinsights.org/2015/06/22/triple-and-quadruple-play-bundles-of-communication-services-towards-all-in-one-packages/.

For more details visit https://cis-india.org/telecom/blog/cis-submission-trai-note-on-interoperable-scalable-public-wifi

Free Net advocates flay Trai's public Wi-Fi paper

praskrishna — 2016-11-20T03:21:41Z

Stakeholders vouching for a cheap and open Internet have flagged concerns over privacy and regulatory hurdles.

The article by Anita Babu was published in the Business Standard on November 20, 2016. Pranesh Prakash was quoted.

With the Telecom Regulatory Authority of India releasing its consultation paper on public Wi-Fi this week, stakeholders vouching for a cheap and open Internet have flagged concerns over privacy and regulatory hurdles.

The Internet Freedom Foundation has pointed out that the proposed regulations might lead to invasion of privacy and interfere with the freedom of hotspot providers to operate freely.

“While we welcome Trai’s vision that increasing the number of public Wi-Fi hotspots could be the way to bringing the majority of Indians online, the proposals turn out to be regressive and poorly thought out,” said Aravind Ravi Sulekha, co-founder of the Internet Freedom Foundation.

The regulator in its consultation paper issued earlier this week proposed hotspot providers would have to register with the government and users could access hotspots only after paying using a service tied to their Aadhaar number. It wants to utilise Aadhaar, electronic-Know Your Customer (e-KYC) and the Unified Payment Interface (UPI) to build a standard authentication mechanism for access to public Wi-Fi in India. While the aim of Trai is to increase the number of Wi-Fi hotspots in India, proponents of free Internet fear these proposed rules might have a contrary effect.

Hotspot providers will have to incur costs on account of hardware installations for one-time password verification in addition to the costs of sending out the passwords. This might discourage entrepreneurs.

“This system of verification makes it harder for entrepreneurs to set up hotspots and for people to access them. It is impossible for broadband to proliferate in any significant way if Trai insists on applying ineffective and cumbersome regulations on those who wish to set up their own hotspots,” Internet Freedom Foundation said in its comments to Trai’s consultation paper.

The proposals have excluded individuals who do not have an Aadhaar account from accessing public Wi-Fi. “This not only brings concerns of costs and exclusion but also privacy, given the constitutionality of the Aadhaar project, and its government-mandated use, is pending adjudication in the Supreme Court,” the foundation pointed out.

The proposals also come at the cost of anonymity. The foundation, cofounded by the crusaders of last year’s SaveTheInternet campaign, trashed the argument that imposing eKYC norms would help in countering terrorism and other crimes. “This prohibition on anonymous communication is a violation of Indians’ freedom of expression… making a call at a PCO, sending a telegram and posting a letter have always been possible without showing ID — even though criminals and terrorists occasionally abused these services… KYC measures are ineffective in preventing crime and terrorism, as tools like VPNs, TOR, and proxies can easily mask the identity of an Internet user,” it stated.

“The solution proposed by Trai is a classic example of centralism and over-regulation. It turns out that Trai is unclear about the problem to be solved,” said Pranesh Prakash, policy director at the Centre for Internet and Society. He added that the new proposals had also failed to address the limitations on foreigners or tourists in India.

Current regulations prevent foreigners without a local mobile number from accessing public Wi-Fi connections. While Trai had identified the problem, it failed to come up with a plausible solution.

For more details visit https://cis-india.org/internet-governance/news/business-standard-november-20-2016-anita-babu-free-net-advocates-flay-trais-public-wifi-paper

Big Data in India: Benefits, Harms, and Human Rights - Workshop Report

Vidushi Marda, Akash Deep Singh and Geethanjali Jujjavarapu — 2016-11-18T12:58:19Z

The Centre for Internet and Society held a one-day workshop on “Big Data in India: Benefits, Harms and Human Rights” at India Habitat Centre, New Delhi on the 1st of October, 2016. This report is a compilation of the the issues discussed, ideas exchanged and challenges recognized during the workshop. The objective of the workshop was to discuss aspects of big data technologies in terms of harms, opportunities and human rights. The discussion was designed around an extensive study of current and potential future uses of big data for governance in India, that CIS has undertaken over the last year with support from the MacArthur Foundation.

Contents

Big Data: Definitions and Global South Perspectives

Aadhaar as Big Data

Seeding

Aadhaar and Data Security

Aadhaar’s Relational Arrangement with Big Data Scheme

The Myths surrounding Aadhaar

IndiaStack and FinTech Apps

Problems with UID

Big Data: Definitions and Global South Perspectives

“Big Data” has been defined by multiple scholars till date. The first consideration at the workshop was to discuss various definitions of big data, and also to understand what could be considered Big Data in terms of governance, especially in the absence of academic consensus. One of the most basic ways to define it, as given by the National Institute of Standards and Technology, USA, is to take it to be the data that is beyond the computational capacity of current systems. This definition has been accepted by the UIDAI of India. Another participant pointed out that Big Data is not only indicative of size, but rather the nature of data which is unstructured, and continuously flowing. The Gartner definition of Big Data relies on the three Vs i.e. Volume (size), Velocity (infinite number of ways in which data is being continuously collected) and Variety (the number of ways in which data can be collected in rows and columns).

The presentation also looked at ways in which Big Data is different from traditional data. It was pointed out that it can accommodate diverse unstructured datasets, and it is ‘relational’ i.e. it needs the presence of common field(s) across datasets which allows these fields to be conjoined. For e.g., the UID in India is being linked to many different datasets, and they don’t constitute Big Data separately, but do so together. An increasingly popular definition is to define data as “Big Data” based on what can be achieved through it. It has been described by authors as the ability to harness new kinds of insight which can inform decision making. It was pointed out that CIS does not subscribe to any particular definition, and is still in the process of coming up with a comprehensive definition of Big Data.

Further, discussion touched upon the approach to Big Data in the Global South. It was pointed out that most discussions about Big Data in the Global South are about the kind of value that it can have, the ways in which it can change our society. The Global North, on the other hand, has moved on to discussing the ethics and privacy issues associated with Big Data.

After this, the presentation focussed on case studies surrounding key Central Government initiatives and projects like Aadhaar, Predictive Policing, and Financial Technology (FinTech).

Aadhaar as Big Data

In presenting CIS’ case study on Aadhaar, it was pointed out that initially, Aadhaar, with its enrollment dataset was by itself being seen as Big Data. However, upon careful consideration in light of definitions discussed above, it can be seen as something that enables Big Data. The different e-governance projects within Digital India, along with Aadhaar, constitute Big Data. The case study discussed the Big Data implications of Aadhaar, and in particular looked at a ‘cradle to grave’ identity mapping through various e-government projects and the datafication of various transaction generated data.

Seeding

Any digital identity like Aadhaar typically has three features: 1. Identification i.e. a number or card used to identify yourself; 2. Authentication, which is based on your number or card and any other digital attributes that you might have; 3. Authorisation: As bearers of the digital identity, we can authorise the service providers to take some steps on our behalf. The case study discussed ‘seeding’ which enables the Big Data aspects of Digital India. In the process of seeding, different government databases can be seeded with the UID number using a platform called Ginger. Due to this, other databases can be connected to UIDAI, and through it, data from other databases can be queried by using your Aadhaar identity itself. This is an example of relationality, where fractured data is being brought together. At the moment, it is not clear whether this access by UIDAI means that an actual physical copy of such data from various sources will be transferred to UIDAI’s servers or if they will just access it through internet, but the data remains on the host government agency’s server. An example of even private parties becoming a part of this infrastructure was raised by a participant when it was pointed out that Reliance Jio is now asking for fingerprints. This can then be connected to the relational infrastructure being created by UIDAI. The discussion then focused on how such a structure will function, where it was mentioned that as of now, it cannot be said with certainty that UIDAI will be the agency managing this relational infrastructure in the long run, even though it is the one building it.

Aadhaar and Data Security

This case study also dealt with the sheer lack of data protection legislation in India except for S.43A of the IT Act. The section does not provide adequate protection as the constitutionality of the rules and regulations under S.43A is ambivalent. More importantly, it only refers to private bodies. Hence, any seeding which is being done by the government is outside the scope of data protection legislation. Thus, at the moment, no legal framework covers the processes and the structures being used for datasets. Due to the inapplicability of S.43A to public bodies, questions were raised as to the existence of a comprehensive data protection policy for government institutions. Participants answered the question in the negative. They pointed out that if any government department starts collecting data, they develop their own privacy policy. There are no set guidelines for such policies and they do not address concerns related to consent, data minimisation and purpose limitation at all. Questions were also raised about the access and control over Big Data with government institutions. A tentative answer from a participant was that such data will remain under the control of the domain specific government ministry or department, for e.g. MNREGA data with the Ministry of Rural Development, because the focus is not on data centralisation but rather on data linking. As long as such fractured data is linked and there is an agency that is responsible to link them, this data can be brought together. Such data is primarily for government agencies. But the government is opening up certain aspects of the data present with it for public consumption for research and entrepreneurial purposes.The UIDAI provides you access to your own data after paying a minimal fee. The procedure for such access is still developing.

Aadhaar’s Relational Arrangement with Big Data Scheme

The various Digital India schemes brought in by the government were elucidated during the workshop. It was pointed out that these schemes extend to myriad aspects of a citizen’s daily life and cover all the essential public services like health, education etc. This makes Aadhaar imperative even though the Supreme Court has observed that it is not mandatory for every citizen to have a unique identity number. The benefits of such identity mapping and the ecosystem being generated by it was also enumerated during the discourse. But the complete absence of any data ethics or data confidentiality principles make us unaware of the costs at which these benefits are being conferred on us. Apart from surveillance concerns, the knowledge gap being created between the citizens and the government was also flagged. Three main benefits touted to be provided by Aadhaar were then analysed. The first is the efficient delivery of services. This appears to be an overblown claim as the Aadhaar specific digitisation and automation does not affect the way in which employment will be provided to citizens through MNREGA or how wage payment delays will be overcome. These are administrative problems that Aadhaar and associated technologies cannot solve. The second is convenience to the citizens. The fallacies in this assertion were also brought out and identified. Before the Aadhaar scheme was rolled in, ration cards were issued based on certain exclusion and inclusion criteria.. The exclusion and inclusion criteria remain the same while another hurdle in the form of Aadhaar has been created. As India is still lacking in supporting infrastructure such as electricity, server connectivity among other things, Aadhaar is acting as a barrier rather than making it convenient for citizens to enroll in such schemes.The third benefit is fraud management. Here, a participant pointed out that this benefit was due to digitisation in the form of GPS chips in food delivery trucks and electronic payment and not the relational nature of Aadhaar. Aadhaar is only concerned with the linking up or relational part. About deduplication, it was pointed out how various government agencies have tackled it quite successfully by using technology different from biometrics which is unreliable at the best of times.

The Myths surrounding Aadhaar

The discussion also reflected on the fact that Aadhaar is often considered to be a panacea that subsumes all kinds of technologies to tackle leakages. However, this does not take into account the fact that leakages happen in many ways. A system should have been built to tackle those specific kinds of leakages, but the focus is solely on Aadhaar as the cure for all. Notably, participants who have been a part of the government pointed out how this myth is misleading and should instead be seen as the first step towards a more digitally enhanced country which is combining different technologies through one medium.

IndiaStack and FinTech Apps

What is India Stack?

The focus then shifted to another extremely important Big Data project, India Stack, being conceptualised and developed by a team of private developers called iStack, for the NPCI. It builds on the UID project, Jan Dhan Yojana and mobile services trinity to propagate and develop a cashless, presence-less, paperless and granular consent layer based on UID infrastructure to digitise India.

A participant pointed out that the idea of India Stack is to use UID as a platform and keep stacking things on it, such that more and more applications are developed. This in turn will help us to move from being a ‘data poor’ country to a ‘data rich’ one. The economic benefits of this data though as evidenced from the TAGUP report - a report about the creation of National Information Utilities to manage the data that is present with the government - is for the corporations and not the common man. The TAGUP report openly talks about privatisation of data.

Problems with India Stack

The granular consent layer of India Stack hasn’t been developed yet but they have proposed to base it on MIT Media Lab’s OpenPDS system. The idea being that, on the basis of the choices made by the concerned person, access to a person’s personal information may be granted to an agency like a bank. What is more revolutionary is that India Stack might even revoke this access if the concerned person expresses a wish to do so or the surrounding circumstances signal to India Stack that it will be prudent to do so. It should be pointed out that the the technology required for OpenPDS is extremely complex and is not available in India. Moreover, it’s not clear how this system would work. Apart from this, even the paperless layer has its faults and has been criticised by many since its inception, because an actual government signed and stamped paper has been the basis of a claim.. In the paperless system, you are provided a Digilocker in which all your papers are stored electronically, on the basis of your UID number. However, it was brought to light that this doesn’t take into account those who either do not want a Digilocker or UID number or cases where they do not have access to their digital records. How in such cases will people make claims?

A Digital Post-Dated Cheque: It’s Ramifications

A key change that FinTech apps and the surrounding ecosystem want to make is to create a digital post-dated cheque so as to allow individuals to get loans from their mobiles especially in remote areas. This will potentially cut out the need to construct new banks, thus reducing the capital expenditure , while at the same time allowing the credit services to grow. The direct transfer of money between UID numbers without the involvement of banks is a step to further help this ecosystem grow. Once an individual consents to such a system, however, automatic transfer of money from one’s bank accounts will be affected, regardless of the reason for payment. This is different from auto debt deductions done by banks presently, as in the present system banks have other forms of collateral as well. The automatic deduction now is only affected if these other forms are defaulted upon. There is no knowledge as to whether this consent will be reversible or irreversible. As Jan Dhan Yojana accounts are zero balance accounts, the account holder will be bled dry. The implication of schemes such as “Loan in under 8 minutes” were also discussed. The advantage of such schemes is that transaction costs are reduced.The financial institution can thus grant loans for the minimum amount without any additional enquiries. It was pointed out that this new system is based on living on future income much like the US housing bubble crash. Interestingly, in Public Distribution Systems, biometrics are insisted upon even though it disrupts the system. This can be seen as a part of the larger infrastructure to ensure that digital post-dated cheques become a success.

The Role of FinTech Apps

FinTech ‘apps’ are being presented with the aim of propagating financial inclusion. The Technology Advisory Group for Unique Projects report stated that as managing such information sources is a big task, just like electricity utilities, a National Information Utilities (NIU) should be set up for data sources. These NIUs as per the report will follow a fee based model where they will be charging for their services for government schemes. The report identified two key NIUs namely the National Payments Corporation of India (NPCI) and the Goods and Services Tax Network (GSTN). The key usage that FinTech applications will serve is credit scoring. The traditional credit scoring data sources only comprised a thin file of records for an individual, but the data that FinTech apps collect - a person’s UID number, mobile number. and bank account number all linked up, allow for a far more comprehensive credit rating. Government departments are willing to share this data with FinTech apps as they are getting analysis in return. Thus, by using UID and the varied data sources that have been linked together by UID, a ‘thick file’ is now being created by FinTech apps. Banking apps have not yet gone down the route of FinTech apps to utilise Big Data for credit scoring purposes.

The two main problems with such apps is that there is no uniform way of credit scoring. This distorts the rate at which a person has to pay interest. The consent layer adds another layer of complication as refusal to share mobile data with a FinTech app may lead to the app declaring one to be a risky investment thus, subjecting that individual to a higher rate of interest .

Regulation of FinTech Apps and the UID Infrastructure

India Stack and the applications that are being built on it, generate a lot of transaction metadata that is very intimate in nature. The privacy aspects of the UID legislation doesn't cover such data. The granular consent layer which has been touted to cover this still has to come into existence. Also, Big Data is based on sharing and linking of data. Here, privacy concerns and Big Data objectives clash. Big Data by its very nature challenges privacy principles like data minimisation and purpose limitation.The need for regulation to cover the various new apps and infrastructure which are being developed was pointed out.

Problems with UID

It has been observed that any problem present with Aadhaar is usually labelled as a teething problem, it’s claimed that it will be solved in the next 10 years. But, this begs the question - why is the system online right now?

Aadhaar is essentially a new data condition and a new exclusion or inclusion criteria. Data exclusion modalities as observed in Rajasthan after the introduction of biometric Point of Service (POS) machines at ration shops was found to be 45% of the population availing PDS services. This number also includes those who were excluded from the database by being included in the wrong dataset. There is no information present to tell us how many actual duplicates and how many genuine ration card holders were weeded out/excluded by POS.

It was also mentioned that any attempt to question Aadhaar is considered to be an attempt to go back to the manual system and this binary thinking needs to change. Big Data has the potential to benefit people, as has been evidenced by the scholarship and pension portals. However, Big Data’s problems arise in systems like PDS, where there is centralised exclusion at the level of the cloud. Moreover, the quantity problem present in the PDS and MNREGA systems persists. There is still the possibility of getting lesser grains and salary even with analysis of biometrics, hence proving that there are better technologies to tackle these problems. Presently, the accountability mechanisms are being weakened as the poor don’t know where to go to for redressal. Moreover, the mechanisms to check whether the people excluded are duplicates or not is not there. At the time of UID enrollment, out of 90 crores, 9 crore were rejected. There was no feedback or follow-up mechanism to figure out why are people being rejected. It was just assumed that they might have been duplicates.

Another problem is the rolling out of software without checking for inefficiencies or problems at a beta testing phase. The control of developers over this software, is so massive that it can be changed so easily without any accountability.. The decision making components of the software are all proprietary like in the the de-duplication algorithm being used by the UIDAI. Thus, this leads to a loss of accountability because the system itself is in flux, none of it is present in public domain and there are no means to analyse it in a transparent fashion..

These schemes are also being pushed through due to database politics. On a field study of NPR of citizens, another Big Data scheme, it was found that you are assumed to be an alien if you did not have the documents to prove that you are a citizen. Hence, unless you fulfill certain conditions of a database, you are excluded and are not eligible for the benefits that being on the database afford you.

Why is the private sector pushing for UIDAI and the surrounding ecosystem?

Financial institutions stand to gain from encouraging the UID as it encourages the credit culture and reduces transaction costs.. Another advantage for the private sector is perhaps the more obvious one, that is allows for efficient marketing of products and services..

The above mentioned fears and challenges were actually observed on the ground and the same was shown through the medium of a case study in West Bengal on the smart meters being installed there by the state electricity utility. While the data coming in from these smart meters is being used to ensure that a more efficient system is developed,it is also being used as a surrogate for income mapping on the basis of electricity bills being paid. This helps companies profile neighbourhoods. The technical officer who first receives that data has complete control over it and he can easily misuse the data. This case study again shows that instruments like Aadhaar and India Stack are limited in their application and aren’t the panacea that they are portrayed to be.

A participant pointed out that in the light of the above discussions, the aim appears to be to get all kinds of data, through any source, and once you have gotten the UID, you link all of this data to the UID number, and then use it in all the corporate schemes that are being started. Most of the problems associated with Big Data are being described as teething problems. The India Stack and FinTech scheme is coming in when we already know about the problems being faced by UID. The same problems will be faced by India Stack as well.

Can you opt out of the Aadhaar system and the surrounding ecosystem?

The discussion then turned towards whether there can be voluntary opting out from Aadhaar. It was pointed out that the government has stated that you cannot opt out of Aadhaar. Further, the privacy principles in the UIDAI bill are ambiguously worded where individuals only have recourse for basic things like correction of your personal information. The enforcement mechanism present in the UIDAI Act is also severely deficient. There is no notification procedure if a data breach occurs. . The appellate body ‘Cyber Appellate Tribunal’ has not been set up in three years.

CCTNS: Big Data and its Predictive Uses

What is Predictive Policing?

The next big Big Data case study was on the Crime and Criminal Tracking Network & Systems (CCTNS). Originally it was supposed to be a digitisation and interconnection scheme where police records would be digitised and police stations across the length and breadth of the country would be interconnected. But, in the last few years some police departments of states like Chandigarh, Delhi and Jharkhand have mooted the idea of moving on to predictive policing techniques. It envisages the use of existing statistical and actuarial techniques along with many other tropes of data to do so. It works in four ways: 1. By predicting the place and time where crimes might occur; 2. To predict potential future offenders; 3. To create profiles of past crimes in order to predict future crimes; 4. Predicting groups of individuals who are likely to be victims of future crimes.

How is Predictive Policing done?

To achieve this, the following process is followed: 1. Data collection from various sources which includes structured data like FIRs and unstructured data like call detail records, neighbourhood data, crime seasonal patterns etc. 2. Analysis by using theories like the near repeat theory, regression models on the basis of risk factors etc. 3. Intervention

Flaws in Predictive Policing and questions of bias

An obvious weak point in the system is that if the initial data going into the system is wrong or biased, the analysis will also be wrong. Efforts are being made to detect such biases. An important way to do so will be by building data collection practices into the system that protect its accuracy. The historical data being entered into the system is carrying on the prejudices inherited from the British Raj and biases based on religion, caste, socio-economic background etc.

One participant brought about the issue of data digitization in police stations, and the impact of this haphazard, unreliable data on a Big Data system. This coupled with paucity of data is bound to lead to arbitrary results. An effective example was that of black neighbourhoods in the USA. These are considered problematic and thus they are policed more, leading to a higher crime rate as they are arrested for doing things that white people in an affluent neighbourhood get away with. This in turn further perpetuates the crime rate and it becomes a self-fulfilling prophecy. In India, such a phenomenon might easily develop in the case of migrants, de-notified tribes, Muslims etc. A counter-view on bias and discrimination was offered here. One participant pointed out that problems with haphazard or poor quality of data is not a colossal issue as private companies are willing to fill this void and are actually doing so in exchange for access to this raw data. It was also pointed out how bias by itself is being used as an all encompassing term. There are multiplicities of biases and while analysing the data, care should be taken to keep it in mind that one person’s bias and analysis might and usually does differ from another. Even after a computer has analysed the data, the data still falls into human hands for implementation.

The issue of such databases being used to target particular communities on the basis of religion, race, caste, ethnicity among other parameters was raised. Questions about control and analysis of data were also discussed, i.e. whether it will be top-down with data analysis being done in state capitals or will this analysis be done at village and thana levels as well too. It was discussed as topointed out how this could play a major role in the success and possible persecutory treatment of citizens, as the policemen at both these levels will have different perceptions of what the data is saying. . It was further pointed out, that at the moment, there’s no clarity on the mode of implementation of Big Data policing systems. Police in the USA have been seen to rely on Big Data so much that they have been seen to become ‘data myopic’. For those who are on the bad side of Big Data, in the Indian context, laws like preventive detention can be heavily misused.There’s a very high chance that predictive policing due to the inherent biases in the system and the prejudices and inefficiency of the legal system will further suppress the already targeted sections of the society. A counterpoint was raised and it was suggested that contrary to our fears, CCTNS might lead to changes in our understanding and help us to overcome longstanding biases.

Open Knowledge Architecture as a solution to Big Data biases?

The conference then mulled over the use of ‘Open Knowledge’ architecture to see whether it can provide the solution to rid Big Data of its biases and inaccuracies if enough eyes are there. It was pointed out that Open Knowledge itself can’t provide foolproof protection against these biases as the people who make up the eyes themselves are predominantly male belonging to the affluent sections of the society and they themselves suffer from these biases.

Who exactly is Big Data supposed to serve?

The discussion also looked at questions such as who is this data for? Janata Information System (JIS), is a concept developed by MKSS where the data collected and generated by the government is taken to be for the common citizens. For e.g. MNREGA data should be used to serve the purposes of the labourers. The raw data as is available at the moment, usually cannot be used by the common man as it is so vast and full of information that is not useful for them at all. It was pointed out that while using Big Data for policy planning purposes, the actual string of information that turned out to be needed was very little but the task of unravelling this data for civil society purposes is humongous. By presenting the data in the right manner, the individual can be empowered. The importance of data presentation was also flagged. It was agreed upon that the content of the data should be for the labourer and not a MNC, as the MNC has the capability to utilise the raw data on it’s own regardless.

Concerns about Big Data usage

Participants pointed out that privacy concerns are usually brushed under the table due to a belief that the law is sufficient or that the privacy battle has already been lost.
In the absence of knowledge of domain and context, Big Data analysis is quite limited. Big Data’s accuracy and potential to solve problems needs to be factually backed.
The narrative of Big Data often rests on the assumption that descriptive statistics take over inferential statistics, thus eliminating the need for domain specific knowledge. It is claimed that the data is so big that it will describe everything that we need to know.
Big Data is creating a shift from a deductive model of scientific rigour to an inductive one. In response to this, a participant offered the idea that troves of good data allow us to make informed questions on the basis of which the deductive model will be formed. A hybrid approach combining both deductive and inductive might serve us best.
The need to collect the right data in the correct format, in the right place was also expressed.

Potential Research Questions & Participants’ Areas of Research

Following this discussion, participants brainstormed to come up with potential areas of research and research questions. They have been captured below:

Big Data, Aadhaar and India Stack:

Has Aadhaar been able to tackle illegal ways of claiming services or are local negotiations and other methods still prevalent?
Is the consent layer of India Stack being developed in a way that provides an opportunity to the UID user to give informed consent? The OpenPDS and its counterpart in the EU i.e. the My Data Structure were designed for countries with strong privacy laws. Importantly, they were meant for information shared on social media and not for an individual’s health or credit history. India is using it in a completely different sphere without strong data protection laws. What were the granular consent layer structures present in the West designed for and what were they supposed to protect?
The question of ownership of data needs to be studied especially in context of a globalised world where MNCs are collecting copious amounts of data of Indian citizens. What is the interaction of private parties in this regard?

Big Data and Predictive Policing:

How are inequalities being created through the Big Data systems? Lessons should be taken from the Western experience with the advent of predictive policing and other big data techniques - they tend to lead to perpetuation of the current biases which are already ingrained in the system.
It was also pointed out how while studying these topics and anything related to technology generally, we become aware of a divide that is present between the computational sciences and social sciences. This divide needs to be erased if Big Data or any kind of data is to be used efficiently. There should be a cross-pollination between different groups of academics. An example of this can be seen to be the ‘computational social sciences departments’ that have been coming up in the last 3-4 years.
Why are so many interim promises made by Big Data failing? A study of this phenomenon needs to be done from a social science perspective. This will allow one to look at it from a different angle.

Studying Big Data:

What is the historical context of the terms of reference being used for Big Data? The current Big Data debate in India is based on parameters set by the West. For better understanding of Big Data, it was suggested that P.C. Mahalanobis’ experience while conducting the Indian census, (which was the Big Data of that time) can be looked at to get a historical perspective on Big Data. This comparison might allow us to discover questions that are important in the Indian context. It was also suggested that rather than using ‘Big Data’ as a catchphrase to describe these new technological innovations, we need to be more discerning.
What are the ideological aspects that must be considered while studying Big Data? What does the dialectical promise of technology mean? It was contended that every time there is a shift in technology, the zeitgeist of that period is extremely excited and there are claims that it will solve everything. There’s a need to study this dialectical promise and the social promise surrounding it.
Apart from the legitimate fears that Big Data might lead to exclusion, what are the possibilities in which it improve inclusion too?
The diminishing barrier between the public and private self, which is a tangent to the larger public-private debate was mentioned.
How does one distinguish between technology failure and process failure while studying Big Data?

Big Data: A Friend?

In the concluding session, the fact that the Big Data moment cannot be wished away was acknowledged. The use of analytics and predictive modelling by the private sector is now commonplace and India has made a move towards a database state through UID and Digital India. The need for a nuanced debate, that does away with the false equivalence of being either a Big Data enthusiast or a luddite is crucial.

A participant offered two approaches to solving a Big Data problem. The first was the Big Data due process framework which states that if a decision has been taken that impacts the rights of a citizen, it needs to be cross examined. The efficacy and practicality of such an approach is still not clear. The second, slightly paternalistic in nature, was the approach where Big Data problems would be solved at the data science level itself. This is much like the affirmative algorithmic approach which says that if in a particular dataset, the data for the minority community is not available then it should be artificially introduced in the dataset. It was also suggested that carefully calibrated free market competition can be used to regulate Big Data. For e.g. a private personal wallet company that charges higher, but does not share your data at all can be an example of such competition.

Another important observation was the need to understand Big Data in a Global South context and account for unique challenges that arise. While the convenience of Big Data is promising, its actual manifestation depends on externalities like connectivity, accurate and adequate data etc that must be studied in the Global South.

While the promises of Big Data are encouraging, it is also important to examine its impacts and its interaction with people's rights. Regulatory solutions to mitigate the harms of big data while also reaping its benefits need to evolve.

For more details visit https://cis-india.org/internet-governance/big-data-in-india-benefits-harms-and-human-rights-a-report

Workshop on Democratic Accountability in the Digital Age (Delhi, November 14-15)

sumandro — 2016-12-15T09:27:22Z

IT for Change, along with Centre for Internet and Society (CIS), Digital Empowerment Foundation (DEF), Mazdoor Kisan Shakti Sangathan (MKSS) and National Campaign for People’s Right to Information (NCPRI), is organising a two day workshop on ‘Democratic Accountability in the Digital Age’. The workshop will focus on evolving a comprehensive policy approach to data based governance and digital democracy, grounded in a rights and social justice framework. It will be held at the United Service Institution of India, Delhi, during November 14-15, 2016. The CIS team to participate in the workshop includes Sumandro Chattapadhyay (speaker), Amber Sinha (speaker), Vanya Rakesh (participant), and Himadri Chatterjee (participant).

The workshop aims to:

Discuss the institutional norms, rules and practices appropriate to the rise of ‘governance by networks’ and ‘rule by data’ that can guarantee democratic accountability and citizen participation, and
Articulate the steps to claim the civic-public value of digital technologies so that data and the new possibilities for networking are harnessed for a vibrant grassroots democracy.

We hope the workshop can create a civil society coalition that can build effective strategies for legal and policy reform to further participatory democracy in the digital age. On the first day, the workshop will set the context through knowledge sharing and thematic presentations and discussions. On the second day, we aim to concretize strategies for collective action to further democratic accountability in the digital age.

Workshop Agenda (PDF)

Background Note (ODT)

For more details visit https://cis-india.org/internet-governance/events/workshop-on-democratic-accountability-in-the-digital-age-delhi-november-14-15

Intelligence agencies will not have open access to Aadhaar data: UIDAI chief

praskrishna — 2016-10-21T01:32:56Z

Intelligence agencies will not have free access to Aadhaar data, a top government official said on Thursday, looking to assuage fears of abuse of personal information.

The article by Aloke Tikku was published in the Hindustan Times on October 20, 2016. Sunil Abraham was quoted.

The Unique Identification Authority of India (UIDAI), which issued identity cards to 1.07 billion Indians, last month decided to retain data related to the verification of Aadhaar-enabled transactions for seven years, leading to security concerns over data safety.

As reported by HT on Monday, privacy experts expressed concerns that transaction data retained for so long could be accessed by the security establishment for surveillance on individuals without sufficient grounds.

“This fear is completely misplaced,” ABP Pandey, UIDAI’s chief executive officer told HT in an interview.

Security agencies can access the data only in case of national security after they get the nod of an oversight committee headed by the cabinet secretary. This committee has to clear every order made by the designated joint secretary-level officer before the information is shared, he said.

“You cannot have any legal protection stronger than this,” Pandey added.

Aadhaar transaction data is not only protected by the most powerful, contemporary law to restrict access but also by strong cryptography.

“Even if someone attempts, the 2048-bit encryption is so strong that it will take them millions of computers and billions of years to decrypt the data,” he said.

A vocal critic of Aadhaar’s design, Sunil Abraham of the Centre for Internet and Society (CIS) suggested he wouldn’t rely too much on the legal framework. “You cannot put a legal band-aid on a broken technological solution. You need to get privacy and security right by design,” the director of the Bengaluru-based research body said.

Abraham said the problem could have been averted if the UIDAI did not store the data in a centralised form. Instead, it could have used its digital signature to sign proof of authentication that could be stored by the authenticating agency and the citizen on a smart card.

For more details visit https://cis-india.org/internet-governance/news/hindustan-times-aloke-tikku-october-20-2016-intelligence-agencies-will-not-have-open-access-to-aadhaar-data

New regulations in place; Aadhaar Card records to be preserved for 7 yrs by Centre

praskrishna — 2016-10-17T14:46:31Z

UIDAI chief executive office ABP Pandey said that the concerns regarding Aadhar card-related benefits were "exaggerated" and that the agency will keep the records in case any disputes arise in the future.

The article was published in the Financial Express on October 17, 2016. Sunil Abraham was quoted.

As per new regulations, the government will now keep a record for seven years of all services and benefits that are availed using Aadhaar number. Fearing that the database might be used for surveillance, the Unique Identification Authority of India (UIDAI) will preserve the records.

UIDAI chief executive office ABP Pandey said that the concerns regarding Aadhar card-related benefits were “exaggerated” and that the agency will keep the records in case any disputes arise in the future.

Pandey added that the information will be available online for two years and shall be shifted to the offline archives for the next five years. In that case, users will be able to check the records only for two years. However, the rules won’t apply for security agencies and that they will need a district judge’s permission to access the data.

According to HT, the rules allow designated joint secretary-level officers at the Centre to order access to information on the grounds of national security.

Talking about this Sunil Abraham, director of the Bengaluru-based think tank, Centre for Internet and Society said that once Aadhar becomes mandatory, it can be misused to conduct a 360-degree surveillance on any person.

Every time a person fingerprints and quotes the Aadhaar number, the agency concerned sends the data to UIDAI to crosscheck the particulars.
The UIDAI authenticates about five million Aadhaar numbers, which are quoted to avail LPG subsidy, cheap ration and even passport, a day against a capacity to verify 100 million requests daily, reports HT.

Meanwhile, The Unique Identification Authority of India (UIDAI) has launched a drive to enrol any leftover population for Aadhaar in 22 states and UTs that have “statistically” hit 100 per cent coverage for adults.

The ‘Challenge drive’ starts from October 15 for a month, a UIDAI statement said, adding that as of today, over 106.69 crore Aadhaar numbers have been generated across the country.

For more details visit https://cis-india.org/internet-governance/news/financial-express-october-17-2016-new-regulations-in-place-aadhaar-card-records-to-be-preserved-for-7-yrs-by-centre

Govt to keep Aadhaar record for 7 years, activists worried

praskrishna — 2016-10-17T01:53:24Z

The government will keep for seven years a record of all the services and benefits availed using the Aadhaar number, say new rules, prompting fears that the database could be used for surveillance.

The article by Aloke Tikku was published in the Hindustan Times on October 17, 2016. Sunil Abraham was quoted.

The Unique Identification Authority of India (UIDAI), which issues the 12-digit biometric identity to all Indian residents, will be required to preserve its record of verification of an Aadhaar number for the duration.

“This is an unprecedented centralised data retention provision,” said Sunil Abraham, director of the Bengaluru-based think tank, Centre for Internet and Society.

UIDAI chief executive officer ABP Pandey said the concerns were exaggerated. The agency was keeping records in case a dispute arose over a transaction.

The information will be retained online for two years and another five years in the offline archives, say the rules notified in September.

Users will be able to check the records but only for two years.

This restriction won’t apply to security agencies. Pandey, however, said the records would not be available to them without a district judge’s permission.

But, HT found that the rules allow designated joint secretary-level officers at the Centre to order access to information on the grounds of national security.

“Once Aadhaar becomes mandatory for all services, it can be used by benign and malignant actors to conduct a 360-degree surveillance on any individual,” Abraham said.

This is how the system, which will need millions of fingerprint-reading machines, works.

Every time a person fingerprints and quotes the Aadhaar number, the agency concerned sends the data to UIDAI to crosscheck the particulars.

The UIDAI authenticates about five million Aadhaar numbers, which are quoted to avail LPG subsidy, cheap ration and even passport, a day against a capacity to verify 100 million requests daily.

“You can think of it as Natgrid Plus,” Abraham said, a reference to the National Intelligence Grid being built by the government.

A one-stop database for counter-terrorism agencies, Natgrid will collate information real time from databases of various agencies such as bank, rail and airline networks.

“…we do not record the purpose for which an authentication request was received but only the details of the agency that sent it,” UIDAI’s Pandey said.

But seven years is a long time. Only a select category of government files are kept for longer than five years.

Asked about two-year deadline for users, Pandey said it would have been a logistic nightmare to let people access the records once the information was offline.

The Supreme Court has a ruled that Aadhaar is not a must for availing welfare schemes and is to decide if collecting biometric data for the 12-digit number infringed an individual’s privacy.

For more details visit https://cis-india.org/internet-governance/news/hindustan-times-aloke-tikku-october-17-2016-govt-to-keep-aadhaar-record-for-seven-years-activitsts-worried

Request for Specifics: Rebuttal to UIDAI

hans — 2016-10-30T15:06:31Z

Responding to the Unique Identification Authority of India’s article that found “serious mathematical errors” in “Flaws in the UIDAI Process” (EPW 12 March 2016), the main mathematical argument used to arrive at the number of duplicates in the biometric database is explained.

The article was published in the Economic & Political Weekly on September 3, 2016, Vol.51, Issue No.36.

The author of a technical paper will be alarmed when he is convicted of “serious mathematical errors” by someone who has not bothered himself with “going too deep into the mathematics” used. The man must possess miraculous powers of divination one feels: fears rather. The UIDAI seems to have even such formidable diviners in their employ: who have dismissed just so peremptorily, in their rebuttal, the calculations made in my paper titled Flaws in the UIDAI process. The paper appeared in the issue of this journal dated to February 27 of this year. The rebuttal was published in the issue dated to the 12th of March. The interested reader can confirm that I have only repeated what was said there. The rebuttal does not specify, in any way, the mathematical mistakes I am supposed to have made. So I shall rehearse the relevant calculations very broadly: and the experts of the UIDAI will then exhibit, I trust, the specific mistakes they impute to me.[*]

[*]My reply to the UIDAIs attempted rebuttal was sent in to the EPW a few days after that appeared in print: and published as a “web exclusive” article in Volume 51, Issue Number 36 of the EPW, on 03/09/2016.

Read the Full Article

For more details visit https://cis-india.org/internet-governance/blog/economic-and-political-weekly-journal-vol-51-issue-36-september-3-2016-hans-varghese-mathews-request-for-specifics

Right to Food Campaign, Ranchi Convention, 2016

sumandro — 2019-03-16T04:40:52Z

The Right to Food Campaign held its 2016 Convention in Ranchi during September 23-25, 2016. While three years have elapsed since the passage of the National Food Security Act, despite improvements in the Public Distribution System (PDS), large implementation gaps remain. This is what the Convention focused on, and gathered researchers and campaigners from across the country to share experiences and case studies on effectiveness and exclusions from the PDS. Sumandro Chattapadhyay took part in a session of the Convention to discuss how UID-linked welfare delivery is being rolled out across key programmes like provision of pension and rationed distribution of essential commodities, and their impact on people's right to welfare services.

Right to Food Campaign: Website.

Right to Food Campaign: Cash Transfers and UID: Our Main Demands.

Ranchi Convention, 2016: Programme.

For more details visit https://cis-india.org/internet-governance/news/right-to-food-campaign-ranchi-convention-2016

Glaring Errors in UIDAI's Rebuttal

pranesh — 2016-09-18T03:22:32Z

This response note by Pranesh Prakash questions Unique Identification Authority of India’s reply to Hans Verghese Mathews' article titled “Flaws in the UIDAI Process” (EPW, March 12, 2016), which found “serious mathematical errors” in the article.

The article was published in Economic & Political Weekly Vol. 51, Issue No. 36, September 3, 2016.

While I am not a statistician, I have followed the technical debate between Hans Verghese Mathews and the UIDAI closely, and see a number of glaring errors in the latter’s so-called rebuttal in EPW (March 12, 2016).

The UIDAI alleges Mathews to have ignored the evidence that the Receiver Operating Characteristic (ROC) "flattens" with more factors. However, Mathews cannot be accused of ignorance if the flattening of the ROC is not relevant to his argument. To explain this in simple terms, the ROC curve is used to choose the appropriate "threshold distance" which determines false positives and false negatives, and belongs to a stage which precedes the estimation of the false positive identification rates (FPIR).

However, Mathews has used the FPIR estimates provided by the UIDAI (based on evidence from the enrolment of 84 million persons), and calculated how the FPIR changes when extrapolated for a population of 1.2 billion persons. In other words, he did not need to look at the ROC curve as that factor is not relevant to his argument, since he has used UIDAI data (which has presumably been estimated on the basis of all 12 factors : 10 fingerprints and 2 irises).

Further, UIDAI asks why Mathews has assumed a linear curve for his extrapolation. Mathews has done no such thing. In fact, in their paper "Role of Biometric Technology in Aadhaar Enrollment," the UIDAI states: "FPIR rate grows linearly with the database size" (nd, 19). Thus, this is an assumption formerly made by them (without providing rationale for it to be a linear curve as opposed to anything else). Mathews mathematically derives bounds for the FPIR in his paper, that is, the range within which the FPIR lies. One gets a linear curve only if they use the upper bound and not on the usage of anything else. So while Mathews does, as he explains, provide the results of the calculation based on the upper bound for the sake of simplicity, he nowhere asserts nor assumes a linear curve.

If, as the UIDAI claims, one cannot perform such an extrapolation and needs to depend on “empirical evidence” instead, the question arises as to how the UIDAI decided to scale up the programme to 1.3 billion people given the error rates. One could also ask if the machines being used to capture biometrics are good enough for the enlargement. Surely they would have performed some extrapolations to decide this.

In their paper they note that "although it [FPIR] is expected to grow as the database size increases, it is not expected to exceed manageable values even at full enrolment of 120 crores" (UIDAI nd, 13). They do not illustrate the extent to which the FPIR is expected to grow—neither in their initial paper, nor in their rebuttal to Mathews—whereas Mathews provides a method of estimating the increase of FPIR. Even if UIDAI is correct in its appraisal of FPIR and that it will not exceed "manageable values," they need to either exemplify their calculations or release the latest data. They have done neither, and that is quite unfortunate.

References

UIDAI (nd): “Role of Biometric Technology in Aadhaar Enrollment,” Unique Identification Authority of India, Government of India, New Delhi, viewed on 18 August 2016, https://uidai.gov.in/images/FrontPageUpdates/role_of_biometric_technology

Related Links

Flaws in the UIDAI Process http://www.epw.in/journal/2016/9/special-articles/flaws-uidai-process.html
Erring on Aadhaar http://www.epw.in/journal/2016/11/discussion/erring-aadhaar.html
Request for Specifics http://www.epw.in/journal/2016/36/documents/request-specifics-rebuttal-u...
Glaring Errors in UIDAI's Rebuttal http://www.epw.in/journal/2016/36/documents/glaring-errors-uidais-rebutt...
Overlooking the UIDAI Process http://www.epw.in/journal/2016/36/documents/response-hans-verghese-mathe...

For more details visit https://cis-india.org/internet-governance/blog/glaring-errors-in-uidai-rebuttal-epw

India's Aadhaar mandate for smartphone makers may rile global firms

praskrishna — 2016-09-15T02:25:31Z

They are unlikely to oblige to request to make changes in their operating system and devices to ensure Aadhaar authentication is done securely on smartphones.

The article by Alnoor Peermohammed was published in the Business Standard on September 14, 2016. Sunil Abraham was quoted.

India is asking global smartphone makers such asApple and Google to adopt locally designed standards on their devices or operating systems that would allow use of biometric scanners for Aadhaarauthentication, a move that could face resistance from global firms.

Apple, the world’s largest smartphone maker runs its own iOS closed ecosystem and mandates apps built by developers to be certified by the company. Its closest rival Google, which owns the Android operating software that runs on nine out of ten smartphones in India, has directives for device makers to comply with. Firms such as Samsung, Lenovo and Micromax build smartphones on the Android OS that are sold in India.

Most global companies are unlikely to oblige India’s request that would require to make changes in their operating system and devices to ensure Aadhaarauthentication is done securely on smartphones, say analysts.

“There is no clarity so far. As of now, it is impossible that they (global smartphone makers) would oblige for a hardware safe zone baked on the sensors,” says Sunil Abraham, executive director at Centre for Internet and Society, a Bengaluru-based researcher that works on emerging technologies. “Because the biometrics contain sensitive personal information, they (UIDAI) don’t want anybody — vmobile manufacturer, OS vendor, telco or ISP — to intercept it”.

India is hoping that global firms would accept the country’s plea considering that most of India’s population use a mobile phone as their only computing device and need them to authenticate on Aadhaar for using government and banking services.

“Right now we’re in consultation with all these device manufacturers as well as the operating system vendors,” said Ajay Bhushan Pandey, Director General of the Unique Identification Authority of India (UIDAI) in a phone interview. “Basically we’re trying to evolve our system wherein a manufacturer or the devices where those operating systems are being used will have a facility where Aadhaar authentication can be made possible in a secure manner.”

India has over 105 crore people or 98% of adult population with Aadhaar. Most government and private organisations use Aadhaar authentication to issue services or products such as opening a bank account, getting a ration card or buying a mobile connection.

Reliance plans to reduce paperwork and issue connections in less than an hour usingAadhaar and try to get its 100 million target market sooner.

Over a fifth of India’s one billion users own smartphones and as the country sees better mobile internet access, more people are expected to upgrade to smartphones and use apps to access their banks to transfer funds, do online shopping and access government services.

For more details visit https://cis-india.org/internet-governance/news/business-standard-alnoor-peermohammed-september-14-2016-indias-aadhaar-mandate-for-smartphone-makers-may-rile-global-firms