When Algorithms Explain Themselves: AI Adoption and Accuracy of Experts' Decisions

By: Himabindu Lakkaraju and Chiara Farronato

Citation

Technology and Operations Management

- June 2023
- Transactions on Machine Learning Research (TMLR)
When Does Uncertainty Matter? Understanding the Impact of Predictive Uncertainty in ML Assisted Decision Making

By: Sean McGrath, Parth Mehta, Alexandra Zytek, Isaac Lage and Himabindu Lakkaraju
- 2023
- Proceedings of the International Conference on Learning Representations (ICLR)
Probabilistically Robust Recourse: Navigating the Trade-offs between Costs and Robustness in Algorithmic Recourse

By: Martin Pawelczyk, Teresa Datta, Johannes van-den-Heuvel, Gjergji Kasneci and Himabindu Lakkaraju
- April 2023
- Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS)
On the Privacy Risks of Algorithmic Recourse

By: Martin Pawelczyk, Himabindu Lakkaraju and Seth Neel