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Michigan Could Use AI To Predict Prisoner Behavior

Michigan Could Use AI To Predict Prisoner Behavior

Summary

Michigan will begin a pilot on December 1 to test a new system for classifying incarcerated people at selected men’s facilities. The state says ongoing data reviews could make predictions of future violence about 30 percent more accurate, but it has not explained how it calculated that estimate or specified whether AI will directly determine individual risk scores.

Key Facts

  • Michigan’s Department of Corrections plans to test the system at selected men’s facilities starting December 1.
  • Classification levels can affect prisoners’ movement, supervision and access to activities and programs.
  • Michigan currently uses security Levels I, II, IV and V; it has no Level III.
  • The state says the new approach will use data analyzed on an ongoing basis instead of relying only on information gathered at scheduled intervals.
  • Michigan supervises about 32,000 incarcerated people and worked with nonprofit technology organization Recidiviz to develop the system.
  • The department says the tool could make predictions of future violence about 30 percent more accurate, but its public announcement does not explain how it calculated the figure.
  • Michigan describes the system as using evidence-based and historical data; Recidiviz says its broader corrections platform uses data, automation and AI.
  • The department plans to assess the pilot before deciding whether to expand the system.
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