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Use CaseDefense & National Security / Security

Predict likelihood of recividism or criminal activity on an individual basis

Prediction modelling typically used to support key decision-making steps in the judicial system - e.g. sentencing and early release. Historically rules and expert based systems there remains perceived risk of bias (e.g. on ethnic grounds) and lack of transparency and accountability.

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Risk reduction
Risk reduction - Reduced legal exposure
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Risk reduction
Risk reduction - Predictive diagnosis
Description

Predict likelihood of recividism or criminal activity on an individual basis

Linked Case Studies
Case Study
Durham Police Constabulary (UK)
Durham Police Constabulary improves custody decisions by predicting whether offenders will re-offend using machine learning that results in 98% avoidance of false negatives
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Case Study
United States Department of Justice
US Justice system standardises bail permission through deploying algorithms but generates significant debate on biased outcomes
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Case Study
Cincinnati Children’s Hospital Medical Center
Cincinnati Children’s Hospital Medical Centre predicted at expert-level 91% accuracy which students are at higher risk of perpetrating school violence using machine learning on interview scores
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Case Study
West Midlands Police
West Midlands Police anticipates violent crime with predictive policing using machine learning
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