The Measure and Mismeasure of AI
Offered By: Association for Computing Machinery (ACM) via YouTube
Course Description
Overview
Explore a thought-provoking keynote address delivered by Stanford University's Sanmi Koyejo at the FAcct '24 conference, delving into the complex topic of "The measure and mismeasure of AI." Over the course of 70 minutes, gain valuable insights into the challenges and nuances of evaluating artificial intelligence systems. Examine the methodologies used to assess AI performance, the potential pitfalls in measurement techniques, and the implications for fairness, accountability, and transparency in AI development. Engage with cutting-edge perspectives on how the tech industry and academia can work towards more accurate and ethical AI evaluation practices.
Syllabus
FAcct '24 Keynote: Sanmi Koyejo, Stanford University "The measure and mismeasure of AI"
Taught by
ACM FAccT Conference
Related Courses
Data Science EthicsUniversity of Michigan via edX Advanced Generative Art and Computational Creativity
Simon Fraser University via Kadenze AI for Legal Professionals (I): Law and Policy
National Chiao Tung University via FutureLearn Ethical Issues in Data Science
University of Colorado Boulder via Coursera Artificial Intelligence by CrashCourse
CrashCourse via YouTube