Prediction

In 2018, at least five British local authorities began developing systems intended to use predictive analytics to identify families needing attention from child services on the basis that algorithmic profiling could help them target their scarce resources more efficiently. Data about at least 377

The accuracy of Facebook's ad targeting sometimes leads users to believe that Facebook is spying on them by tapping the microphones in their phones. Facebook has denied the practice - and is likely telling the truth because uploading and scanning the amount of audio data such a system would involve

In 2015, the University of Arizona began tracking freshman students’ ID card swipes as part of a project to try to lower the rate at which students drop out or leave for another university. The cards, which include an embedded sensor and are given to all students, can be read at almost 700 locations

Designed for use by border guards, Unisys' LineSight software uses advanced data analytics and machine learning to help border guards decide whether to inspect travellers more closely before admitting them into their country. Unisys says the software assesses each traveller's risk beginning with the

Car companies have long collected data about the consumers who buy their cars. Now, they hope to aggregate and sell customer preferences to outside vendors for marketing purposes much as online tech giants like Google and Facebook already do. The companies say that exploiting this data will help

In 2016, Facebook and its photo-sharing subsidiary Instagram rolled out a new reporting tool that lets users anonymously flag posts that suggest friends are threatening self-harm or suicide. The act of flagging the post triggers a message from Instagram to the user in question offering support

In a study of COMPAS, an algorithmic tool used in the US criminal justice system , Dartmouth College researchers Julia Dressel and Hany Farid found that the algorithm did no better than volunteers recruited via a crowdsourcing site. COMPAS, a proprietary risk assessment algorithm developed by

In February 2018 the Canadian government announced a three-month pilot partnership with the artificial intelligence company Advanced Symbolics to monitor social media posts with a view to predicting rises in regional suicide risk. Advanced Symbolics will look for trends by analysing posts from 160

In 2014, the UK suicide prevention group The Samaritans launched Radar, a Twitter-based service intended to leverage the social graph to identify people showing signs of suicidal intent on social media and alert their friends to reach out to offer them help. The app was quickly taken offline after

Among the friends Facebook recommended to Kashmir Hill as people she might know was Rebecca Porter, to the best of her knowledge a total stranger. Because Hill was studying how the "black box" of Facebook recommendations worked, she contacted Porter to ask what the connection might be. To her

The light surrounding you this very second may be used to expose how much money you make, where you live, when you're home, and much more. That's the big takeaway from A 2016 analysis of ambient light sensors by London-based security and privacy consultant and University College London researcher

As part of its Smart Nation programme, in 2016 Singapore launched the most extensive collection of data on everyday living ever attempted in a city. The programme involved deploying myriad sensors and cameras across the city-state to comprehensively monitor people, places, and things, including all

A 2015 study carried out in Rwanda and published in the journal Science used mobile phone records to study the distribution of wealth and poverty in an attempt to fill in the gap left by the difficulty of collecting accurate statistics. A rought idea of geographic location was derived from

In 2015, Ant Financial, a Chinese company affiliated with Alibaba, began deploying "Sesame Credit scores". Ant, which also runs the popular payment app Alipay, claims that it uses both online and offline purchasing and spending habits to calculate a credit worthiness score for each of its more than

In 2016 researchers in China claimed an experimental algorithm could correctly identify criminals based on images of their faces 89% of the time. The research involved training an algorithm on 90% of a dataset of 1,856 photos of Chinese males between 18 and 55 with no facial hair or markings. Among

In 2016, the US's third-largest property and casualty insurer, Liberty Mutual, announced it would partner with Subaru to enable drivers who have bought Subaru's Starlink infotainment system to download a car app that will notify them if they are accelerating too aggressively or braking too hard. The