Fair and Socially Responsible ML for Recommendations: Challenges and Perspectives
NeurIPS '22 tutorial
Selected Talks + Workshops
MIT IDE Lunch Seminar
The Challenges of Understanding What Users Want: Inconsistent Preferences and Engagement Optimization [video]
5th IDSC of IZA Workshop: Matching Workers and Jobs Online
Understanding Societal Impacts through Machine Learning and Mechanism Design: Automated Hiring as a Case Study (keynote)
Algorithmic Contract Design: Present and Future
How Do Classifiers Induce Agents To Invest Effort Strategically? (invited talk)
Facebook Core Data Science Seminar
The Challenge of Understanding What Users Want: Inconsistent Preferences and Engagement Optimization
Artificial Intelligence and the Economy: The Future of AI in Financial Services
Panel hosted by the U.S. Department of Commerce, Stanford HAI, and FinRegLab
Harvard EconCS Seminar
The Challenge of Understanding What Users Want: Inconsistent Preferences and Engagement Optimization
NYU Data Science Seminar
The Challenge of Understanding What Users Want: Inconsistent Preferences and Engagement Optimization
ASSA Session on Auditing and Regulating AI Systems
Mitigating Bias in Algorithmic Hiring: Evaluating Claims and Practices
Israel Algorithmic Game Theory Seminar
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
EC '21 tutorial