Fairness, Equality, and Power in Algorithmic Decision-Making
Offered By: Association for Computing Machinery (ACM) via YouTube
Course Description
Overview
Explore a thought-provoking conference talk that delves into the critical issues of fairness, equality, and power dynamics in algorithmic decision-making systems. Presented by M. Kasy and R. Abebe at the FAccT 2021 virtual conference, this 20-minute research track presentation challenges conventional notions of algorithmic fairness. Examine how algorithmic interventions can impact societal power structures and resource allocation. Gain insights into the complex interplay between technological solutions and broader socioeconomic factors. Discover new perspectives on designing more equitable algorithmic systems that consider long-term consequences and power redistribution.
Syllabus
Fairness, Equality, and Power in Algorithmic Decision-Making
Taught by
ACM FAccT Conference
Related Courses
Translation Tutorial - Thinking Through and Writing About Research Ethics Beyond "Broader Impact"Association for Computing Machinery (ACM) via YouTube Translation Tutorial - Data Externalities
Association for Computing Machinery (ACM) via YouTube Translation Tutorial - Causal Fairness Analysis
Association for Computing Machinery (ACM) via YouTube Implications Tutorial - Using Harms and Benefits to Ground Practical AI Fairness Assessments
Association for Computing Machinery (ACM) via YouTube Responsible AI in Industry - Lessons Learned in Practice
Association for Computing Machinery (ACM) via YouTube