On the Moral Justification of Statistical Parity
Offered By: Association for Computing Machinery (ACM) via YouTube
Course Description
Overview
Explore a thought-provoking conference talk that delves into the ethical considerations surrounding statistical parity in machine learning and artificial intelligence. Presented at the FAccT 2021 virtual conference, this 20-minute research track presentation by C. Hertweck, M. Loi, and C. Heitz examines the moral foundations and implications of using statistical parity as a fairness metric in algorithmic decision-making systems. Gain insights into the complex interplay between fairness, equality, and justice in the context of AI ethics, and understand the potential consequences of implementing statistical parity in real-world applications. Engage with cutting-edge research that challenges conventional thinking and contributes to the ongoing dialogue about responsible AI development and deployment.
Syllabus
On the Moral Justification of Statistical Parity
Taught by
ACM FAccT Conference
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