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On the Moral Justification of Statistical Parity

Offered By: Association for Computing Machinery (ACM) via YouTube

Tags

ACM FAccT Conference Courses Critical Thinking Courses Ethical Reasoning Courses

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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