On the Moral Justification of Statistical Parity

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.