Michigan's prison system is preparing to deploy artificial intelligence that predicts the likelihood that incarcerated people will commit future violent acts, and it plans to use those predictions to help determine their security classifications.
Michigan corrections · AI risk prediction
Michigan plans AI to forecast violence and inform prison security classifications
A predictive model would estimate how likely incarcerated people are to commit future violent acts, and those estimates would feed into decisions about custody level and supervision. Key details remain unpublished.
From prediction to daily conditions
How the planned tool would fit into the classification process
Step 1
Violence likelihood
Model estimates future violent acts per individual
→
Step 2
Security classification
Prediction informs the custody level assigned
→
Step 3
Housing and supervision
Level of monitoring and placement shifts
→
Step 4
Daily life behind bars
Conditions and opportunities could be affected
What is known
Michigan prisons plan to use a violence-prediction model
Predictions would help determine security classifications
Classification shapes custody level and supervision
Not yet public
Vendor or developer behind the system
Go-live date
Data the model draws on
How predictions are weighed against human judgment
Long-standing concerns
Accuracy of violence forecasts
Racial and socioeconomic bias in outputs
Whether people can understand or challenge results
Who is accountable for a harsher classification
What would settle the questions
Published methodology
Validation results across populations
Oversight and appeal rules
Lawmaker or advocacy group review
Bottom line
This is an early-stage plan, not a confirmed, fully described deployment.
The next signals to watch are whether officials publish the tool's methodology, validation results and oversight rules, and whether lawmakers or advocacy groups seek a formal review of how predictions are used.
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