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Content Type: Examples
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 including access to a help line and suggestions such as calling a friend. These messages are also triggered if someone searches the service for certain terms such as "thinspo", which is associated with…
Content Type: Examples
Recruiters are beginning to incorporate emotional recognition technology into the processes they use for assessing video-based job applications. Human, a London-based start-up, claims its algorithms can match the subliminal facial expressions of prospective candidates to personality traits. It then scores the results against characteristics the recruiter specifies. HireVue, which sells its service to Unilever, uses the emotion database of Affectiva, a specialist in emotion recognition that…
Content Type: Examples
In 2018, pending agreement from its Institutional Review Board, the University of St Thomas in Minnesota will trial sentiment analysis software in the classroom in order to test the software, which relies on analysing the expressions on students' faces captured by a high-resolution webcam. Instructors will be able to see the aggregate detected emotions of up to 42 students displayed in a glance at their computer screen. The project hopes to help teachers adapt their approaches in response, but…
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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 160,000 social media accounts; the results are intended to aid the Canadian government in allocating mental health resources. The company claims to be able to predict suicidal ideation, behaviours, and…
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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 widespread criticism and an online petition asking them to delete the app. Among the complaints: the high error rate, intrusiveness, and the Samaritans' response, which was to suggest that people…
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Mothers of black, male teenagers in Chicago, fear their children will be added to the Chicago Police Department's gang database. As of the end of 2017, the database contains the names of 130,000 people, 90% of them black or Latino, who are suspected of being gang members. Most have never been arrested for a violent offence or for a drug or weapons charge. The police are not required to notify those who are added to the database, and the reasons for inclusion may be as trivial as style of dress…
Content Type: Examples
Websites have long used third-party analytics scripts to collect information about how visitors use their sites. In November 2017, researchers at Princeton found that an increasing number of sites use "session replay" scripts that collect every action the user performs while on the site, including mouse movements, keystrokes, scrolling behaviour, and the complete contents of pages loaded. Users logically expect the sites to receive typed data only after they're pressed the "submit" button, but…
Content Type: Examples
In 2017, after protests from children's health and privacy advocates, Mattel cancelled its planned child-focused "Aristotle" smart hub. Aristotle was designed to adapt to and learn about the child as they grew while controlling devices from night lights to homework aids. However, Aristotle was only one of many tech devices being released onto the market to take over functions that have traditionally been part of the intimate relationship between children and their parents: a smart cradle that…
Content Type: Examples
In the wake of Tesla’s first recorded autopilot crash, automakers are reassessing the risk involved with rushing semi-autonomous driving technology into the hands of distractible drivers. But another aspect of autopilot—its ability to hoover up huge amounts of mapping and “fleet learning” data—is also accelerating the auto industry’s rush to add new sensors to showroom-bound vehicles. This may surprise some users: Tesla’s Terms of Use (TOU) does not explicitly state that the company will…
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Caucuses, which are used in some US states as a method of voting in presidential primaries, rely on voters indicating their support for a particulate candidate by travelling to the caucus location. In a 2016 Marketplace radio interview, Tom Phillips, the CEO of Dstillery, a big data intelligence company, said that his company had collected mobile device IDs at the location for each of the political party causes during the Iowa primaries. Dstillery paired caucus-goers with their online…
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In a presentation given at the Knowledge Discovery and Data Mining conference in 2016, researchers discussed a method of using the data generated by smart card public transport tickets to catch pickpockets. In a study of 6 million passenger movements in Beijing, the researchers used a classifier to pick out anomalous journeys - sudden variations in the patterns of ordinary travellers or routes that made no sense. A second classifier primed with information derived from police reports and social…
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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 locally registered vehicles. The platform into which all this data will be fed, Virtual Singapore, will give the government the ability to watch the country's functioning in real time. The government…
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A new generation of technology has given local law enforcement officers in some parts of the US unprecedented power to peer into the lives of citizens. In Fresno, California, the police department's $600,000 Real Time Crime Center is providing a model for other such centres that have opened in New York, Houston, and Seattle over the decade between 2006 and 2016. The group of technologies used in these centres includes ShotSpotter, which uses microphones around the city to triangulate the…
Content Type: Examples
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
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
A new generation of technology has given local law enforcement officers in some parts of the US unprecedented power to peer into the lives of citizens. The police department of Frenso California uses a cutting-edge Real Time Crime Center that relies on software like Beware.
As officers respond to calls, Beware automatically runs the address. The program also scoures billions of data points, including arrest reports, property records, commercial databases, deep Web searches and the man’s social…
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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 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…
