Explore the legal implications of fairness metrics in machine learning under EU non-discrimination law in this 54-minute tutorial from the FAccT 2021 conference. Delve into the concept of bias preservation and its intersection with legal frameworks as presented by experts Sandra Watcher and Brent Mittelstadt from the University of Oxford's Oxford Internet Institute, along with Chris Russell from Amazon Web Services. Gain insights into how different fairness metrics align with EU regulations and their potential impact on machine learning practices. Examine the challenges of balancing algorithmic fairness with legal compliance in the European context, and understand the importance of these considerations for developers, policymakers, and researchers working in AI ethics and governance.
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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