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The Measure and Mismeasure of Fairness: A Critical Review of Fair Machine Learning Presenter: Sharad Goel (Harvard Kennedy School) Discussant: Jann Spiess (Stanford Graduate School of Business) Host: Maryam Farboodi (MIT) Sept 30, 2021 12-1pm EST 00:00:00 Welcome remarks 00:02:13 Presentation 00:31:53 Discussion 00:55:08 Q&A ABFR is an interdisciplinary community of scholars with an interest in the methodology, applications, and socioeconomic implications of AI and big data for a wide range of areas in economics and finance. The forum organizes monthly presentations and discussions of papers by the leading world experts in the area, followed by an informal general post-seminar discussion. The virtual talks take place on the last Thursday of each month from 12-1pm EST. For more information about the seminar series, including registration, please visit our website: https://www.abfr-forum.org ABFR is organized by Svetlana Bryzgalova, Lin William Cong, Maryam Farboodi, and Markus Pelger. It is also supported by The Advisory Committee, which includes Kay Giesecke, Gerald Hoberg, Wei Jiang, Bryan Kelly, Stefan Nagel, Andrew Patton, and Laura Veldkamp. ABFR hosting institutions are the Cornell FinTech Initiative and the Stanford AFTLab.