Explore the legal implications of fairness metrics in machine learning under EU non-discrimination law in this 57-minute tutorial presented by Sandra Watcher from the University of Oxford's Internet Institute. Delve into the complex issue of bias preservation in AI systems and examine how various fairness metrics align with European legal frameworks. Gain insights into the challenges of balancing algorithmic fairness with legal compliance, and understand the potential consequences of using different fairness metrics in machine learning models. Discover the intersection of technology, ethics, and law as you learn about the latest developments in this critical area of AI research and policy.
Bias Preservation in Machine Learning - The Legality of Fairness Metrics Under EU Non-Discrimination Law
Association for Computing Machinery (ACM) via YouTube
Overview
Syllabus
Tutorial: Bias Preservation in Machine Learning: The Legality of Fairness Metrics Under EU
Taught by
ACM FAccT Conference
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