Decisions and Public Policies

This lecture explores the use of machine learning tools in making decisions related to public policies, focusing on eligibility, rights, and actions. It discusses the controversies and challenges surrounding fairness, transparency, and accountability in tools like COMPAS and SYRI. The lecture also delves into examples such as the Allegheny Family Screening Tool and the French 'BOB EMPLOI', highlighting the impact and ethical implications of predictive algorithms in various domains.