Authorities in China have begun using artificial intelligence to target groups of residents for arrest and detention.
According to a report by the Daily Wire, a new trove of highly classified leaked documents from the Chinese communist government reveals how Beijing relies on algorithms to operate their concentration camps where they reportedly have millions of Muslims and other minorities detained:
The International Consortium of Investigative Journalists (ICIJ) reports that the leaked documents reveal that “Chinese police are guided by a massive data collection and analysis system that uses artificial intelligence to select entire categories of Xinjiang residents for detention.”
Flagandcross.com reports: The China Cables represent the first leak of a classified Chinese government document revealing the inner workings of the detention camps, as well as the first leak of classified government documents unveiling the predictive policing system in Xinjiang.
The leak features classified intelligence briefings that reveal, in the government’s own words, how Xinjiang police essentially take orders from a massive “cybernetic brain” known as IJOP, which flags entire categories of people for investigation & detention.
These secret intelligence briefings reveal the scope and ambition of the government’s AI-powered policing platform, which purports to predict crimes based on computer-generated findings alone. The result? Arrest by algorithm.
Details about the detention camp how-to manual:
It was approved by Zhu Hailun, Xinjiang’s deputy party secretary and disseminated in November 2017. It was issued by the Xinjiang Political and Legal Affairs Commission.
It presents a master plan for managing mass internment, including details on how to “prevent escapes.” This proves, in the Chinese government’s very own words, that detainees are held in the camps against their own will.
The manual’s written style combines standard Chinese bureaucratese with Orwellian doublespeak, blandly prescribing the secure management of toilet breaks and combat training for guards, while referring to inmates as “students” and listing the requirements to “graduate.”
The manual reveals a points-based behavior-control system within the camps. Points are tabulated by assessing the inmates’ “ideological transformation, study and training, and compliance with discipline,” the manual says.
The camps have 3 security zones: ”very strict,” “strict,” and “general management.” Detainees are sorted into zones based on background and points. They are moved to lower-security zones as their scores improve; or punished for low scores by being placed in higher-security zones.
The manual also includes a creepy section on “manner education,” directing camp personnel to provide instruction to detainees in such areas as “etiquette,” “obedience,” “friendship behaviors” and the “regular change of clothes.”
Why do Chinese authorities think that normal adults need help making friends and dressing themselves? Xinjiang expert @dtbyler said this stems from a prevalent belief among Han Chinese that Uighurs are “backwards”–aka the colonial narrative of the savage “other.”
Now on to the “Integrated Joint Operations Platform”– the “cybernetic brain” behind many detentions in Xinjiang. @jmulvenon said IJOP isn’t just “pre-crime,” it’s a “machine-learning, artificial intelligence, command and control” platform that substitutes AI for human judgment.
The China Cables provide inside details about what all the mass surveillance and data collection is FOR. It is fed into IJOP, which learns from the data and uses it to produce lists of names, sometimes 1000s at a time, for police to detain.
She had a lot more tweets. Click her photo to be taken to Twitter to see the rest of the thread.
Latest posts by Sean Adl-Tabatabai (see all)
- Investigators Deployed After Fulton County Discovers ‘Issue’ With Ballot Reporting - November 9, 2020
- Biden Supporter at Rally Screams at Cops: ‘Blue Lives Do NOT Matter’ - November 9, 2020
- Washington Post’s Jennifer Rubin: ‘We Must BURN DOWN the Republican Party’ - November 9, 2020