Algorithmic Governance, Bias, and Judicial Reasoning in North American Federal and Supreme Courts (2015–2025): A Machine Learning and Legal Theory Study

• In Event: Judicial Reasoning

Brief Overview

This study analyzes ten years of U.S. and Canadian federal and supreme court opinions on AI, automation, and surveillance, using machine learning and legal theory to detect judicial patterns of bias, fairness, and democratic reasoning.

Author

• Mahdi Baratalipour, University of Toronto