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AI Use Case

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.



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

Case Studies

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,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,United States Department of Justice~US Justice system standardises bail permission through deploying algorithms but generates significant debate on biased outcomes,West Midlands Police~West Midlands Police anticipates violent crime with predictive policing using machine learning

Potential Vendors


Public And Social Sector


Data Sets

Structured / Semi-structured

AI Technologies

Machine Learning (ML),ML Task - Prediction - Regression

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