China Is Using Artificial Intelligence to Predict Who Is Likely to Commit A Crime and Arrest Them Before They Do It

Wiki


China is implementing artificial intelligence to predict crime before it is committed. People will be imprisoned, not because they commit a crime, but because a computer thinks they will do so in the future or – more to the point – because a member of the ruling oligarchy says a computer has done so.   Predictions are based on facial recognition combined with data on activities, interests, opinions, and associations.  [All collectivist governments are pursuing this technology. China is merely the first to begin implementation.] –GEG
China to use technology to predict crimes BEFORE they happen
Much like in the 2002 film Minority Report, starring Tom Cruise, authorities in the east Asian country want to catch criminals before they have done any wrongdoing.The police in the surveillance state have enlisted the help of AI to determine who is going to commit a crime before its happened.

Li Meng, vice-minister of science, said: “If we use our smart systems and smart facilities well, we can know beforehand… who might be a terrorist, who might do something bad.”

One of the ways China is hoping to peek into the future is with facial recognition firm Cloud Walk which is trialling software that gathers data on where people are what they are doing.

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The move is similar to the 2002 movie Minority Report starring Tom Cruise

For example, if a citizen is to visit a weapons shop then the firm can combine this with other data to assess the individuals chance of committing a crime.Cloud Walk spokesperson Fu Xiaolong told the Financial Times: “The police are using a big-data rating system to rate highly suspicious groups of people based on where they go and what they do.”

He added that the risk rises if the person “frequently visits transport hubs and goes to suspicious places like a knife store”.

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The move will require heavy surveillance

Another way that the police can use AI to predict crimes is through algorithms that use “crowd analysis” to detect “suspicious” patterns of individuals to determine if they are a thief, for example.It can also be used to monitor “high risk” locations, such as knife and hammer shops.

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