Fair and Socially Responsible ML for Recommendations: Challenges and Perspectives
NeurIPS '22 tutorial
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Selected Talks + Workshops - Manish Raghavan 
Manish Raghavan
Drew Houston (2005) Career Development Professor,
MIT Sloan and EECS
Selected Talks + Workshops
MIT IDE Lunch Seminar
October 04, 2022, Virtual
The Challenges of Understanding What Users Want: Inconsistent Preferences and Engagement Optimization [video]
5th IDSC of IZA Workshop: Matching Workers and Jobs Online
September 16, 2022, Virtual
Understanding Societal Impacts through Machine Learning and Mechanism Design: Automated Hiring as a Case Study (keynote)
Algorithmic Contract Design: Present and Future
July 15, 2022, ACM EC, Boulder, CO
How Do Classifiers Induce Agents To Invest Effort Strategically? (invited talk)
Privacy Law Scholars Conference
June 03, 2022, Northeastern University
Facebook Core Data Science Seminar
May 06, 2022, Virtual
The Challenge of Understanding What Users Want: Inconsistent Preferences and Engagement Optimization
Artificial Intelligence and the Economy: The Future of AI in Financial Services
April 27, 2022, Department of Commerce, Washington D.C.
Panel hosted by the U.S. Department of Commerce, Stanford HAI, and FinRegLab
Harvard EconCS Seminar
April 08, 2022, Harvard University
The Challenge of Understanding What Users Want: Inconsistent Preferences and Engagement Optimization
NYU Data Science Seminar
April 06, 2022, Virtual
The Challenge of Understanding What Users Want: Inconsistent Preferences and Engagement Optimization
ASSA Session on Auditing and Regulating AI Systems
January 07, 2022, Virtual
Mitigating Bias in Algorithmic Hiring: Evaluating Claims and Practices
Israel Algorithmic Game Theory Seminar
October 19, 2021, Virtual
Understanding Societal Impacts through Machine Learning and Mechanism Design: Automated Hiring as a Case Study [video]
Fairness and Discrimination through the Dual Lenses of Mechanism Design and Machine Learning
July 19, 2021, Virtual
EC '21 tutorial