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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
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
16th July 2018
In 2013, Edward Snowden, working under contract to the US National Security Agency for the consultancy Booz Allen Hamilton, copied and leaked thousands of classified documents that revealed the inner workings of dozens of previously unknown surveillance programs. One of these was PRISM, launched in 2007, which let NSA use direct access to the systems of numerous giant US technology companies to carry out targeted surveillance of the companies' non-US users and Americans with foreign contacts by…
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: Examples
2nd May 2018
A new examination of documents detailing the US National Security Agency's SKYNET programme shows that SKYNET carries out mass surveillance of Pakistan's mobile phone network and then uses a machine learning algorithm to score each of its 55 million users to rate their likelihood of being a terrorist. The documents were released as part of the Edward Snowden cache. The data scientist Patrick Ball, director of research at the Human Rights Data Analysis Group, which produces scientifically…