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Content type: Examples
17th May 2019
A November 2018 report from Data & Society discusses "data craft", the methods manipulators use to create disinformation with falsified metadata, specifically platform activity signals, which can be read by machine learning algorithms, platforms, and humans. Manipulators use platform features in unexpected and skilful ways to evade moderation efforts, and their methods need to be understood. The report includes three case studies: politicians' accounts on Instagram, official US government…
Content type: Examples
12th August 2019
In October 2018, the Singapore-based startup LenddoEFL was one of a group of microfinance startups aimed at the developing world that used non-traditional types of data such as behavioural traits and smartphone habits for credit scoring. Lenddo's algorithm uses numerous data points, including the number of words a person uses in email subject lines, the percentage of photos in a smartphone's library that were taken with a front-facing camera, and whether they regularly use financial apps on…
Content type: Examples
12th August 2019
After an 18-month investigation involving interviews with 160 life insurance companies, in January 2019 New York Financial Services, the state's top financial regulator, announced it would allow life insurers to use data from social media and other non-traditional sources to set premium rates for its customers. Insurers will be required to demonstrate that their use of the information doesn't unfairly discriminate against specific customers. New York is the first state to issue specific…
Content type: Examples
27th August 2019
A 17-year-old Palestinian resident of Lebanon, Ismail B. Ajjawi, was deported shortly after he arrived at Boston Airport, where he was due to start attending Harvard University the following week.
Immigration officers subjected him to hours of questioning — at one point leaving to search his phone and computer — according to a written statement by Ajjawi. According to the student, his visa was revoked because of content posted by some social media contacts.
The student alleges that…
Content type: Examples
17th May 2019
In February 2019 Google engineers announced that they had created faster, more efficient encryption system that could function on less-expensive Android phones that were too low-powered to implement existing full-device encryption. The scheme, known as Adiantum, uses established and well-vetted encryption tools and principles. Android has required smartphones to support encryption since 2015's version 6, but low-end devices were exempt because of the performance hit. It will now be up to device…
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…