Data Security and Privacy Series:8. Big Data and the Movie Minority Report

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Big Data and the Movie Minority Report

In the previous issue, we discussed "Big Data and E-Reading", and today, we will talk about "Big Data and the Movie Minority Report".

The minority report is based on the novel of Philip K. Dick, a 2002 film about the 2054 year in which Washington has completely eradicated crime thanks to the presence of the Prophet. These prophets had supernatural abilities and were able to predict future crimes, that is, they could predict future crimes and arrest criminals before they committed them, and based on this they established a "crime prevention system". The male protagonist, played by Tom Cruise, can analyze and predict the time and place of the crime in the "crime prevention system" based on the wooden ball with the name predicted by the prophet, and then prevent the crime from happening.

The Minority Report is all about big data. In the big data research laboratory, scientists have further refined Predpol and other prediction software, such as precobs, with the aim of making these software more than predicting when and where crime will occur in the future.

In 2007, the U.S. Department of Homeland Security released a research program aimed at identifying potential terrorists. These people are innocent today, but are likely to engage in terrorist activities in the future. Called Future Attribute Screening Technology (Fast Plan), it screens all relevant elements, including individual behavior, body language, physiology, and physical characteristics. Once suspicious people are screened, they use facial recognition systems to monitor and track them through computers. Slowly, smart surveillance cameras are beginning to be used to analyze human behavior, and they can detect suspicious activity by detecting stressful symptoms such as sweating.

In Luton, a suburb of London, police tested eight cameras on the street and automatically sounded an alert when they detected one of the 50 illegal acts recorded in the database. In Nice, 915 smart cameras closely monitor the sidewalks, automatically locating suspicious people who appear restless or too rigid in the crowd.

In 2011, the European Commission implemented a program called Indetect, in which they selected no less than 17 scientific teams to answer questions about how big data can detect abnormal behavior in cities. In the future, running, retrograde in a crowd, traveling too fast, standing up when others are sitting down, and so on, may be judged by the computer to be suspicious.

Science coordinator Adam Gavrilla said: "Automated intelligent systems are more objective and less discriminating than human manipulators. But in public space, algorithms are unwittingly using behavioral analysis cameras to impose new behavioral code on humans. If this code is not followed, people's behavior may be labeled as suspicious in the memory of the computer.

Big data collects far more information than individuals want in the real world, and massive amounts of data make predictive analytics possible. Thanks to this new approach, big data is eager to one day be able to predict human psychological biases, suicides, or criminal intentions a priori, because he believes that before behavior occurs, information will always have a harbinger and more or less repetitive inevitability. Signs of the world without these signs of behavior is rare. Like the world depicted in the film Minority Report, people pay more attention to intentional crimes. This is the approach we tend to take to combat terrorism.

The content of this issue ends here, and the next issue will discuss "big data and biomedicine" with you.