Addressing the Design Needs of Implementing Fairness in AI via Influence Functions
- Brianna Richardson
- Kush R. Varshney
- 2021
- INFORMS 2021
Talk
Publications
117 results for Fairness, Accountability, Transparency
Artificial Intelligence for Mental Health Care: Clinical Applications, Barriers, Facilitators, and Artificial Wisdom
- Ellen E. Lee
- John Torous
- et al.
- 2021
- Biological Psychiatry
ReviewCharacteristic Examples: High-Robustness, Low-Transferability Fingerprinting of Neural Networks
- Siyue Wang
- Xiao Wang
- et al.
- 2021
- IJCAI 2021
Conference paperModel Distillation for Revenue Optimization: Interpretable Personalized Pricing
- Max Biggs
- Wei Sun
- et al.
- 2021
- ICML 2021
Conference paperSubsetGAN: Pattern detection in the activation space for Identifying Synthesised Content
- 2021
- ICML 2021
Workshop posterIndividually Fair Rankings
- Amanda Bower
- Hamid Eftekhari
- et al.
- 2021
- ICLR 2021
Conference paperStatistical inference for individual fairness
- Subha Maity
- Songkai Xue
- et al.
- 2021
- ICLR 2021
Conference paperIndividually Fair Gradient Boosting
- Alexander Vargo
- Fan Zhang
- et al.
- 2021
- ICLR 2021
Conference paperFair Mixup: Fairness via Interpolation
- Ching-Yao chuang
- Youssef Mroueh
- 2021
- ICLR 2021
Conference paperEngineering Fair Machine Learning Pipelines
- Martin Hirzel
- Kiran Kate
- et al.
- 2021
- ICLR 2021
Workshop paper