Kathleen Creel- Arbitrariness, Fairness, and Opportunity in Algorithmic Decision-Making Systems

Explore a thought-provoking seminar on the ethical implications of algorithmic decision-making systems. Delve into the concept of arbitrariness in various contexts, from employment to criminal sentencing, and examine how the widespread use of algorithms amplifies moral and legal concerns. Investigate the relationship between arbitrariness, domination, and limited autonomy, drawing parallels to discrimination. Discover technically informed solutions proposed to mitigate the moral harm caused by large-scale algorithmic decision-making. Gain insights into standardization, linear models, randomness, legal risks, and computational barriers associated with these systems. Engage with audience questions and broaden your understanding of this critical topic at the intersection of technology, ethics, and law.

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