November 7, 2026, 7:14 am | Read time: 2 minutes
Artificial intelligence is set to help assess the risk of violence among inmates in U.S. prisons. The state of Michigan plans to use AI-based software for this purpose. It will evaluate prisoners based on their potential risk and assign them to one of five security levels.
The corrections department expects this to provide an assessment about 30 percent more accurate than the current method. However, experts warn of potential errors and biases in the underlying data. These could have significant impacts on prisoners who are incorrectly classified.
Software to Help Determine Security Level
Currently, a panel of prison staff decides the classification of inmates. In the future, software from the nonprofit technology organization Recidiviz will support this process. The organization originated from a data project at Google and develops digital solutions for the U.S. correctional system.
According to the corrections department, testing begins in December 2026 in several men’s prisons. The AI will help organize inmate housing and more accurately assess the risk of potential violent acts.
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Faulty Data Could Have Consequences for Inmates
The classification directly affects prison life. The security level determines which other inmates a prisoner is housed with. It also dictates which programs and support services are available to them.
The reliability of the software’s judgment depends significantly on the data it uses. Futurism points to a ProPublica investigation of a similar risk assessment program in Louisiana. The data used for classification were racially biased and disadvantaged social backgrounds, leading to unjustifiably higher risk classifications for some inmates.
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Berlin Also Tests AI for Violence Detection
Not only in the U.S. is artificial intelligence used to detect potential violent acts. Germany also has a corresponding test project. At Kottbusser Tor in Berlin, AI analyzes video footage. The system is designed to identify possible violent situations in this way.