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By 2016, a logical direction for data-driven personalisation efforts to go was toward the "Internet of Emotions": equipping devices with facial, vocal, and biometric sensors that use affective computing to analyse and influence the feelings of device owners. Of particular concern is the potential for using subtle cues to manipulate people in a more nuanced way than is presently discussed. The beginnings of this are already visible in the example of an Amazon Echo that displayed the items a…
Content Type: Examples
In 2015, ABI Research discovered that the power light on the front of Alphabet's Nest Cam was deceptive: even when users had used the associated app to power down the camera and the power light went off, the device continued to monitor its surroundings, noting sound, movement, and other activities. The proof lay in the fact that the device's power drain diminished by an amount consistent with only turning off the LED light. Alphabet explained the reason was that the camera had to be ready to be…
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…
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In 2016, the American Civil Liberties Union of Northern California published a report revealing that the social media monitoring service Geofeedia had suggested it could help police track protesters. The report's publication led Twitter and Facebook to restrict Geofeedia's access to their bulk data. ACLUNC argued that even though the data is public, using it for police surveillance is an invasion of privacy. Police are not legally required to get a warrant before searching public data; however…
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At the Sixth Annual Conference on Social Media Within the Defence and Military Sector, held in London in 2016, senior military and intelligence officials made it clear that governments increasingly view social media as a tool for the Armed Forces and a "new front in warfare". Social media are also viewed as a source of intelligence on civilian populations and enemies and as a vector for propaganda. The conference was sponsored by Thales, which was working with the National Research Council of…
Content Type: Examples
In 2015, Boston advertising executive John Flynn, CEO of Copley Advertising, began developing a system that uses standard online advertising and tracking techniques, coupled with geofencing, to send advertisements to women's smartphones when they are sitting inside Planned Parenthood clinics and other abortion facilities. The system was soon adopted by the northern California-based crisis pregnancy centres network RealOptions and the evangelical adoption agency Bethany Christian Services. The…
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In 2016, researchers at MIT's Computer Science and Artificial Intelligence Laboratory developed a new device that uses wireless signals that measure heartbeats by bouncing off a person's body. The researchers claim that this system is 87% accurate in recognising joy, pleasure, sadness, or anger based on the heart rate after first measuring how the individual's body reacts in various emotional states. Unlike a medical electrocardiogram, it does not require a sensor to be attached to the person's…
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In 2016, the Big Data lab at the Chinese search engine company Baidu published a study of an algorithm it had developed that it claimed could predict crowd formation and suggested it could be used to warn authorities and individuals of public safety threats stemming from unusually large crowds. The study, which was inspired by a New Year's Eve 2014 stampede in Shanghai that killed more than 30 people, correlated aggregated data from Baidu Map route searches with the crowd density at the places…
Content Type: Examples
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