The Empathy Gap: Why AI Can Forecast Behavior But Cannot Assess Trustworthiness
- Jason R. D’Cruz
- William Kidder
- et al.
- 2022
- AAAI-FS 2022
Publications
138 results for Kush R. Varshney
Differentially Private SGDA for Minimax Problems
- Zhenhuan Yang
- Shu Hu
- et al.
- 2022
- UAI 2022
AI Explainability 360: Impact and Design
- Vijay Arya
- Rachel K. E. Bellamy
- et al.
- 2022
- IAAI 2022
Causal Feature Selection for Algorithmic Fairness
- Sainyam Galhotra
- Karthikeyan Shanmugam
- et al.
- 2022
- SIGMOD/PODS 2022
Human-centered explainability for life sciences, healthcare, and medical informatics
- Sanjoy Dey
- Prithwish Chakraborty
- et al.
- 2022
- Patterns
Deciding Fast and Slow: The Role of Cognitive Biases in AI-assisted Decision-making
- Charvi Rastogi
- Yunfeng Zhang
- et al.
- 2022
- PACM HCI
Uncertainty Quantification 360: A Hands-on Tutorial
- Soumya Ghosh
- Q. Vera Liao
- et al.
- 2022
- CODS-COMAD 2022
Interventional fairness with indirect knowledge of unobserved protected attributes
- Sainyam Galhotra
- Karthikeyan Shanmugam
- et al.
- 2021
- Entropy
Addressing the Design Needs of Implementing Fairness in AI via Influence Functions
- Brianna Richardson
- Kush R. Varshney
- 2021
- INFORMS 2021
One Explanation Does Not Fit All: A Toolkit And Taxonomy Of AI Explainability Techniques
- Vijay Arya
- Rachel K. Bellamy
- et al.
- 2021
- INFORMS 2021