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Law and Policy

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

Tags

ACM FAccT Conference Courses Machine Learning Courses Bias Analysis Courses

Course Description

Overview

Explore a series of thought-provoking conference talks from the FAT* 2019 session on Law and Policy, chaired by Andrew Selbst. Delve into four critical presentations addressing the intersection of artificial intelligence, ethics, and societal impact. Examine the concept of dishonest anthropomorphism in robotics with Brenda Leong and Evan Selinger. Investigate the complexities of AI explanations alongside Brent Mittelstadt, Chris Russell, and Sandra Wachter. Analyze the use of racial categories in machine learning with Sebastian Benthall and Bruce D. Haynes. Finally, explore the ethical and causal foundations for measuring fairness in algorithms with Bruce Glymour and Jonathan Herington. Gain valuable insights into the legal and policy implications of AI and machine learning technologies in this comprehensive 48-minute session from the Association for Computing Machinery (ACM) conference.

Syllabus

FAT* 2019: Law and Policy


Taught by

ACM FAccT Conference

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