The Measure and Mismeasure of Fairness with Sharad Goel - #363

This article discusses a podcast episode featuring Sharad Goel, a Stanford Assistant Professor, focusing on his work applying machine learning to public policy. The conversation covers his research on discriminatory policing and the Stanford Open Policing Project. A key aspect of the discussion revolves around Goel's paper, "The Measure and Mismeasure of Fairness: A Critical Review of Fair Machine Learning." The episode likely delves into the complexities of defining and achieving fairness in the context of AI and its application in areas like law enforcement, highlighting the challenges and potential pitfalls of using machine learning in public policy.

• •The podcast episode discusses the application of machine learning to public policy.
• •It highlights Sharad Goel's research on discriminatory policing and the Stanford Open Policing Project.
• •The episode likely explores the challenges of defining and achieving fairness in AI, particularly in law enforcement.