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Legal Studies

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Legal Studies

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Research Frontiers in Algorithmic Decision-Making in Criminal Justice

Examines legal and ethical implications of machine learning algorithms used in sentencing, parole decisions, and risk assessment within criminal justice systems.

Predictive Bias and Racial Disparities in Risk Assessment Algorithms

Algorithmic Opacity in Sentencing Discretion and Judicial Accountability

Feedback Loops Between Policing Algorithms and Community Criminalization

Due Process Rights in Automated Criminal Investigation Systems

Data Quality and Historical Bias in Recidivism Prediction Models

Algorithmic Discrimination at Pre-Trial Detention Decision Points

Transparency Versus Security in Criminal Justice AI Deployment

Algorithmic Gaming and Strategic Behavior by Criminal Justice Actors

Intersectional Bias in Multi-Factor Algorithmic Risk Scoring

Legal Liability and Accountability for Algorithmic Criminal Decisions

All Legal Studies PhD categories