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Content type: Advocacy
Privacy International welcomes this opportunity to submit comments to the FATF consultation. The draft recommendation is an improvement on existing guidance that we have reviewed.
We also welcome the calls of the FATF for accommodations that will relieve burdens upon individuals who are being excluded from the financial sector, as a result of the FATF’s prior recommendations.
PI believes that identity systems must empower people. The initial question surrounding the development of any…
Content type: Examples
The State is not always the only actor involved in the surveillance of benefits claimants. Often those practices are encouraged, facilitated or conducted by private companies. South Africa for instance mandated MasterCard to help distribute benefits through biometric debit cards.
https://www.finextra.com/newsarticle/23941/south-africa-enlists-mastercard-to-distribute-welfare-through-biometric-debit-cards
Publication: FinExtra
Content type: Long Read
Photo Credit: Max Pixel
The fintech sector, with its data-intensive approach to financial services, faces a looming problem. Scandals such as Cambridge Analytica have brought public awareness about abuses involving the use of personal data from Facebook and other sources. Many of these are the same data sets that the fintech sector uses. With the growth of the fintech industry, and its increase in power and influence, it becomes essential to interrogate this use of data by the fintech industry…
Content type: Examples
In January 2018 the Cyberspace Administration of China summoned representatives of Ant Financial Services Group, a subsidiary of Alibaba, to rebuke them for automatically enrolling its 520 million users in its credit-scoring system. The main complaint was that people using Ant's Alipay service were not properly notified that enrolling in the credit-scoring system would also grant Ant the right to share their personal financial data, including information about their income, savings, and…
Content type: Examples
In 2015, a small number of Silicon Valley start-ups began experimenting with assessing prospective borrowers in developing countries such as Kenya by inspecting their smartphones. Doing so, they claimed, enabled them to charge less in interest than more traditional microlenders, since many of their target customers lack traditional credit ratings. The amount of data on phones - GPS coordinates, texts, emails, app data, and more obscure details such as how often the user recharges the battery,…
Content type: Examples
Because banks often decline to give loans to those whose "thin" credit histories make it hard to assess the associated risk, in 2015 some financial technology startups began looking at the possibility of instead performing such assessments by using metadata collected by mobile phones or logged from internet activity. The algorithm under development by Brown University economist Daniel Björkegren for the credit-scoring company Enterpreneurial Finance Lab was built by examining the phone records…
Content type: News & Analysis
Privacy International is celebrating Data Privacy Week, where we’ll be talking about privacy and issues related to control, data protection, surveillance and identity. Join the conversation on Twitter using #dataprivacyweek.
If you were looking for a loan, what kind of information would you be happy with the lender using to make the decision? You might expect data about your earnings, or whether you’ve repaid a loan before. But, in the changing financial sector, we are seeing more and more…
Content type: Report
Financial services are changing, with technology being a key driver. It is affecting the nature of financial services, from credit and lending through to insurance, and even the future of money itself.
The field of fintech is where the attention and investment is flowing. Within it, new sources of data are being used by existing institutions and new entrants. They are using new forms of data analysis.
These changes are significant to this sector and the lives of people it serves. This report…