This tutorial focuses on understanding bias preservation in machine learning and the legality of fairness metrics under EU non-discrimination law. The course aims to explore the implications of fairness metrics in machine learning models. Participants will learn about the legal aspects of using fairness metrics in the European Union. The teaching method involves theoretical explanations and practical examples to illustrate the concepts. This course is intended for individuals interested in the intersection of machine learning, bias preservation, and legal compliance, particularly within the context of the EU.
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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