Are "Intersectionally Fair" AI Algorithms Really Fair to Women of Color? - A Philosophical Analysis
Offered By: Association for Computing Machinery (ACM) via YouTube
Course Description
Overview
Explore a philosophical analysis examining the concept of "intersectional fairness" in AI algorithms and its implications for women of color in this thought-provoking 16-minute conference talk presented by Youjin Kong at the Association for Computing Machinery (ACM). Delve into the complexities of algorithmic fairness, challenging conventional notions and critically evaluating whether current approaches truly address the unique experiences and challenges faced by women of color in AI systems.
Syllabus
Are "Intersectionally Fair" AI Algorithms Really Fair to Women of Color? A Philosophical Analysis
Taught by
ACM FAccT Conference
Related Courses
A Bayesian Model of Cash Bail DecisionsAssociation for Computing Machinery (ACM) via YouTube A Pilot Study in Surveying Clinical Judgments to Evaluate Radiology Report Generation
Association for Computing Machinery (ACM) via YouTube A Review of Taxonomies of Explainable Artificial Intelligence - XAI Methods
Association for Computing Machinery (ACM) via YouTube A Semiotics-Based Epistemic Tool to Reason About Ethical Issues in Digital Technology Design and Development
Association for Computing Machinery (ACM) via YouTube A Statistical Test for Probabilistic Fairness
Association for Computing Machinery (ACM) via YouTube