Come to this one-day conference organized by Alexander Williams Tolbert. Speaker lineup for the day:
- Shahin Jabbari-“The Disagreement Problem in Explainable Machine Learning: A Practitioner’s Perspective”
- Anita Allen-Dismantling the “Black Opticon”: Privacy, Race Equity, and Online Data-Protection Reform
- Konrad Kording-“Recommender systems: what does it mean to get good “recommendations?
- Aaron Roth-“Robust and Equitable Uncertainty Estimation”
- Hanming Fang -“Toward an economic theory of dysfunctional identity”
- Richard Berk-“Improving Fairness in Criminal Justice Algorithmic Risk Assessments Using Optimal Transport and Conformal Prediction Sets”
- Deborah Mayo”Statistical Significance and its Critics: Practicing damaging science, or damaging scientific practice?”
- Michael Kearns “An Algorithmic Framework for Bias Bounties”
- Konstanin Genin “Causal Discovery, Randomization and Individualized Treatment”
