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The Danish company Blip Systems deploys sensors in cities, airports, and railway stations to help understand and analyse traffic flows and improve planning. In the UK's city of Portsmouth, a network of BlipTrack sensors was installed in 2013 by VAR Smart CCTV, and the data it has collected is used to identify problem areas and detect changing traffic patterns. The city hope that adding more sensors to identify individual journeys will help reduce commuting times, fuel consumption, and vehicular…
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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 initial intent to travel and refines its assessment as more information becomes available at each stage of the journey - visa application, reservation, ticket purchase, seat selection, check-in, and…
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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…
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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…
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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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"To the 53 people who’ve watched A Christmas Prince every day for the past 18 days: Who hurt you?" Netflix tweeted in December 2017. While the tweet did not contain any information that could have identified any of the 53 people, it still made many of those who saw it uncomfortable. A Christmas Prince was a new movie released by Netflix, and the statistic is apparently derived from the service's detailed collection of data on what its subscribers watch.
Subscribers are generally aware that the…
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…
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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…
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In 2016 reports surfaced that bricks-and-mortar retailers were beginning to adopt physical-world analogues to the tracking techniques long used by their online counterparts. In a report, Computer Sciences Corporation claimed that about 30% of retailers were tracking customers in-store via facial recognition and cameras such as Intel's RealSense cameras, which can analyse facial expressions and identify the clothing brands a customer is wearing. Intel noted that the purpose was to build general…
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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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In 2015, the Royal Parks conducted a covert study of visitors to London's Hyde Park using anonymised mobile phone signals provided by the network operator EE to analyse footfall. During the study, which was conducted via government-funded Future Cities Catapult, the Royal Parks also had access to aggregated age and gender data, creating a detailed picture of how different people used the park over the period of about a year. The study also showed the percentage of EE subscribers who visited…
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A 2016 study from the French Institute for Research in Computer Science and Automation found that in 95% of cases it takes as few as four of the apps users have installed on their smartphones to reidentify them within a dataset. Based on a study of 54,893 Android users over seven months, the researchers found that just two apps were sufficient to reidentify users about 75% of the time. However, the list of apps an individual uses is more revealing than that: it can predict traits like…
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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…
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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
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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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…
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As GPS began being increasingly incorporated into smartphones, satnav manufacturers like the Dutch company TomTom were forced to search for new revenue streams. In 2011, TomTom was forced to apologise when the Dutch newspaper AD reported that the company had sold driving data collected from customers to police, which used it to site speed cameras in locations where speeding was common. TomTom said that any information it shares had been anonymised; however, in response to the newspaper story…
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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…
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According to the US security firm Statfor the Chinese government has been builsing a system to analyse the massive amounts of data it has been collecting over the past years. The company claims: "The new grid management system aims to help the Chinese government act early to contain social unrest. Under the new program, grid administrators each monitor a number of households (sometimes as many as 200). They then aggregate their reports into one enormous surveillance database, where it is…
