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Content type: Examples
4th December 2018
In May 2018, US Immigration and Customs Enforcement abandoned the development of machine learning software intended to mine Facebook, Twitter, and the open Internet to identify terrorists. The software, announced in the summer of 2017, had been a key element of president Donald Trump's "extreme vetting" programme and expected to flag at least 10,000 people a year for investigation. ICE decided instead to opt for a contractor who could provide training, management, and human personnel to do the…
Content type: Examples
20th December 2018
In 2018 a report from the Royal United Services Institute found that UK police were testing automated facial recognition, crime location prediction, and decision-making systems but offering little transparency in evaluating them. An automated facial recognition system trialled by the South Wales Police incorrectly identified 2,279 of 2,470 potential matches. In London, where the Metropolitan Police used facial recognition systems at the Notting Hill Carnival, in 2017 the system was wrong 98% of…
Content type: Examples
1st December 2017
For some months in 2017, in one of a series of high-risk missteps, Uber violated Apple's privacy guidelines by tagging and identifying iPhones even after their users had deleted Uber's app. When Apple discovered the deception, CEO Tim Cook told Uber CEO Travis Kalanick to cease the practice or face having the Uber app barred from the App Store.
External Link to Story
https://www.nytimes.com/2017/04/23/technology/travis-kalabnick-pushes-uber-and-himself-to-the-precipice.html
Content type: Examples
3rd May 2018
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
12th July 2019
Absher, an online platform and mobile phone app created by the Saudi Arabian government, can allow men to restrict women’s ability to travel, live in Saudi Arabia, or access government services. This app, which is available in the Google and Apple app stores, supports and enables the discriminatory male guardianship system in Saudi Arabia and violations of womens’ rights, including the right to leave and return to one’s own country. Because women in Saudi Arabia are required to have a male…
Content type: Examples
3rd December 2017
In 2016, researchers discovered that the personalisation built into online advertising platforms such as Facebook is making it easy to invisibly bypass anti-discrimination laws regarding housing and employment. Under the US Fair Housing Act, it would be illegal for ads to explicitly state a preference based on race, colour, religion, gender, disability, or familial status. Despite this, some policies - such as giving preference to people who already this - work to ensure that white…
Content type: Examples
8th May 2019
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: Examples
3rd December 2017
A US House of Representatives oversight committee was told in March 2017 that photographs of about half of the adult US population are stored in facial recognition databases that can be accessed by the FBI without their knowledge or consent. In addition, about 80% of the photos in the FBI's network are of non-criminals and come from sources such as passports. Eighteen states supply driver's licences under arrangement with the FBI. In response, privacy advocates and politicians called for…
Content type: Examples
1st December 2017
Facebook has come under fire after leaked documents revealed the social media site has been targeting potentially vulnerable children.
The allegations suggest the company is gathering information on young people who “need a confidence boost” to facilitate predatory advertising practices.
Confidential documents obtained by The Australian reportedly show how Facebook can exploit the moods and insecurities of teenagers using the platform for the benefit of advertisers.
External Link to Story…
Content type: Examples
9th February 2019
In July 2018, Facebook announced it was investigating whether the Boston-based company Crimson Hexagon had violated the company's policies on surveillance. Crimson Hexagon markets itself as offering "consumer insights". Its customers include a Russian non-profit with ties to the Kremlin, and multiple US government agencies. After pressure from civil liberties groups, Facebook put a policy in place in March 2017 barring the use of members' data for the purposes of government surveillance.…
Content type: Examples
12th July 2019
In 2017, US Immigration & Customs Enforcement (ICE) announced that it would seek to use artificial intelligence to automatically evaluate the probability of a prospective immigrant “becoming a positively contributing member of society.” In a letter to acting Department of Homeland Security Secretary Elaine Duke, a group of 54 concerned computer scientists, engineers, mathematicians, and researchers objected to ICE’s proposal and demanded that ICE abandon this approach because it would be…
Content type: Examples
5th May 2018
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: Case Study
30th August 2017
For those concerned by reporting of Facebook’s exploitation of user data to generate sensitive insights into its users, it is worth taking note of WeChat, a Chinese super-app whose success has made it the envy of Western technology giants, including Facebook. WeChat has more than 900 million users. It serves as a portal for nearly every variety of connected activity in China. Approximately 30% of all time Chinese users spend on the mobile internet centers around WeChat and over a third of…
Content type: Case Study
30th August 2017
Political campaigns around the world have turned into sophisticated data operations. In the US, Evangelical Christians candidates reach out to unregistered Christians and use a scoring system to predict how seriously millions these of voters take their faith. As early as 2008, the Obama campaign conducted a data operation which assigned every voter in the US a pair of scores that predicted how likely they would cast a ballot, and whether or not they supported him. The campaign was so confident…
Content type: Examples
3rd May 2018
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: Long Read
16th June 2020
Introduction
In August 2019, when Facebook announced a few new features for advertisers such as ads in search, PI decided to take an in-depth look at what features the company offers its users when it comes to understanding its advertising practices. One of these features, which caught our attention is Facebook Ads Preference, a tool that among other things, lists businesses/advertisers that have uploaded your personal data to target you with (or exclude you from) ads on the platform.