Learning to Design Fair and Private Voting Rules
- Farhad Mohsin
- Ao Liu
- et al.
- 2020
- NeurIPS 2020
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89 results for Fairness, Accountability, Transparency
CUI@CHI 2024: Building Trust in CUIs-From Design to Deployment
- Smit Desai
- Christina Wei
- et al.
- 2024
- CHI 2024
Keeping Up with the Language Models: Robustness-Bias Interplay in NLI Data and Models
- Ioana Baldini Soares
- Chhavi Yadav
- et al.
- 2023
- ACL 2023
AI for Credible Elections: A Call to Action with Trusted AI
- Biplav Srivastava
- Anita Nikolich
- et al.
- 2023
- AAAI 2023
Skin Tone Analysis for Representation in Educational Materials (STAR-ED) Using Machine Learning
- Girmaw Abebe Tadesse
- Celia Cintas
- et al.
- 2023
- npj Digital Medicine
Bias in Clinical Risk Prediction Models: Challenges in Application to Observational Health Data
- Yoonyoung Park
- Moninder Singh
- et al.
- 2021
- AAAI 2021
Algorithmic Selection of Patients for Case Management: Alternative Proxies to Healthcare Costs
- 2021
- AAAI 2021
Biasly: An Expert-Annotated Dataset for Subtle Misogyny Detection and Mitigation
- Brooklyn Sheppard
- Anna Richter
- et al.
- 2024
- ACL 2024
SubsetGAN: Pattern detection in the activation space for Identifying Synthesised Content
- 2021
- ICML 2021
How to Democratise and Protect AI: Fair and Differentially Private Decentralised Deep Learning
- Lingjuan Lyu
- Yitong Li
- et al.
- 2020
- IEEE TDSC