Lecture

Decisions and Public Policies

Description

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.

About this result
This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.