Kathleen Creel- Arbitrariness, Fairness, and Opportunity in Algorithmic Decision-Making Systems
Stanford University via YouTube
Overview
The course explores the moral and legal implications of arbitrariness in algorithmic decision-making systems, focusing on the issues of fairness and opportunity. Participants will learn about the moral aspects of arbitrariness, the impact of arbitrary decisions at scale, and proposed technical solutions to mitigate harm. The teaching method includes presentations on arbitrariness, moral features, technical solutions, and audience questions. This course is intended for individuals interested in ethics, technology, and the societal impact of algorithmic decision-making systems.
Syllabus
Introduction
Presentation
Arbitrariness
Moral Features
Arbitrary Decisions at Scale
Who is Likely to Be Excluded
Technical Solutions
Standardization
What is arbitrary
Linear models
How much randomness
Legal risks
Computational and technical barriers
Audience Question
Outro
Taught by
Stanford HAI