AI in Prisons: Michigan Aims to Identify Dangerous Inmates Before Incidents Occur
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AI Governance, Risk & Compliance
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In short
- The Michigan Department of Corrections is planning to implement an AI-based system to better predict the potential future violence risk of inmates.
- The goal is to improve risk assessments by 30 percent.
- In this context, it is important to note that the use of AI in sensitive areas such as corrections carries both opportunities and risks.
The Michigan Department of Corrections is planning to implement an AI-based system to better predict the potential future violence risk of inmates. The goal is to improve risk assessments by 30 percent. In this context, it is important to note that the use of AI in sensitive areas such as corrections carries both opportunities and risks. While a more accurate risk evaluation could lead to a safer prison environment, there are also concerns regarding ethical implications and the accuracy of the algorithms. A final assessment of this initiative would be premature at this point, as the impacts on inmates and staff are not yet fully understood.
Source:
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KI im Gefängnis: Michigan will gefährliche Häftlinge erkennen, bevor etwas passiert — t3n.de - Software & Entwicklung (DE-DE)