Keeping Up with the Language Models: Robustness-Bias Interplay in NLI Data and Models
- Ioana Baldini Soares
- Chhavi Yadav
- et al.
- 2023
- ACL 2023
Workshop
Publications
117 results for Fairness, Accountability, Transparency
Minimax AUC Fairness: Efficient Algorithm with Provable Convergence
- Zhenhuan Yang
- Yan Lok Ko
- et al.
- 2023
- AAAI 2023
Conference paperTowards Labor Transparency in Situated Computational Systems Impact Research
- Felicia S. Jing
- Sara E. Berger
- et al.
- 2023
- FAccT 2023
Conference paperSaliency Cards: A Framework to Characterize and Compare Saliency Methods
- Angie Boggust
- Harini Suresh
- et al.
- 2023
- FAccT 2023
Conference paperBenchmarking the Effect of Poisoning Defenses on the Security and Bias of Deep Learning Models
- Nathalie Baracaldo Angel
- Farhan Ahmed
- et al.
- 2023
- S&P 2023
Workshop paperEvaluating Social Determinants of Health Variables in Advanced Analytic and Artificial Intelligence Models for Cardiovascular Disease Risk and Outcomes: A Targeted Review
- Jane Snowdon
- Elisabeth Scheufele
- et al.
- 2023
- Ethnicity & Disease
PaperAI for Credible Elections: A Call to Action with Trusted AI
- Biplav Srivastava
- Anita Nikolich
- et al.
- 2023
- AAAI 2023
WorkshopMisinformation, Equity, and Science
- 2022
- APS News
PaperTowards an Accountable and Reproducible Federated Learning: A FactSheets Approach
- Nathalie Baracaldo Angel
- Ali Anwar
- et al.
- 2022
- arXiv
PaperPost-processing for Individual Fairness
- Felix Petersen
- Debarghya Mukherjee
- et al.
- 2021
- NeurIPS 2021
Conference paper