| Explainable machine learning in deployment U Bhatt, A Xiang, S Sharma, A Weller, A Taly, Y Jia, J Ghosh, R Puri, ... Proceedings of the 2020 conference on fairness, accountability, and …, 2020 | 543 | 2020 |
| Beyond the imitation game: Quantifying and extrapolating the capabilities of language models A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ... arXiv preprint arXiv:2206.04615, 2022 | 437 | 2022 |
| Uncertainty as a form of transparency: Measuring, communicating, and using uncertainty U Bhatt, J Antorán, Y Zhang, QV Liao, P Sattigeri, R Fogliato, G Melançon, ... Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 401-413, 2021 | 173 | 2021 |
| What we can't measure, we can't understand: Challenges to demographic data procurement in the pursuit of fairness MK Andrus, E Spitzer, J Brown, A Xiang Proceedings of the 2021 ACM conference on fairness, accountability, and …, 2021 | 115 | 2021 |
| Machine learning explainability for external stakeholders U Bhatt, MK Andrus, A Weller, A Xiang arXiv preprint arXiv:2007.05408, 2020 | 64 | 2020 |
| On the legal compatibility of fairness definitions A Xiang, ID Raji arXiv preprint arXiv:1912.00761, 2019 | 49 | 2019 |
| Reconciling Legal and Technical Approaches to Algorithmic Bias A Xiang Tennessee Law Review 88 (3), 2021, 2020 | 40 | 2020 |
| On the validity of arrest as a proxy for offense: Race and the likelihood of arrest for violent crimes R Fogliato, A Xiang, Z Lipton, D Nagin, A Chouldechova Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 100-111, 2021 | 37 | 2021 |
| Affirmative algorithms: The legal grounds for fairness as awareness DE Ho, A Xiang U. Chi. L. Rev. Online, 134, 2020 | 20 | 2020 |
| Unlocking the potential of art investment vehicles A Xiang The Yale Law Journal 127 (6), 1698-1741, 2018 | 17 | 2018 |
| Assessing the potential impact of a nationwide class-based affirmative action system A Xiang, DB Rubin Statistical Science, 297-327, 2015 | 14 | 2015 |
| Being'Seen'vs.'Mis-Seen': Tensions between Privacy and Fairness in Computer Vision A Xiang Harvard Journal of Law & Technology 36 (1), 2022 | 9 | 2022 |
| Effects of uncertainty on the quality of feature importance explanations T Shaikhina, U Bhatt, R Zhang, K Georgatzis, A Xiang, A Weller AAAI Workshop on Explainable Agency in Artificial Intelligence, 2021 | 8 | 2021 |
| Ethical considerations for collecting human-centric image datasets JTA Andrews, D Zhao, W Thong, A Modas, O Papakyriakopoulos, ... arXiv preprint arXiv:2302.03629, 2023 | 7 | 2023 |
| Regulating Facial Processing Technologies: Tensions Between Legal and Technical Considerations in the Application of Illinois BIPA RJ Yew, A Xiang Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022 | 5 | 2022 |
| Men also do laundry: Multi-attribute bias amplification D Zhao, J Andrews, A Xiang International Conference on Machine Learning, 42000-42017, 2023 | 4 | 2023 |
| Promises and Challenges of Causality for Ethical Machine Learning A Rahmattalabi, A Xiang arXiv preprint arXiv:2201.10683, 2022 | 4 | 2022 |
| A multistakeholder approach towards evaluating AI transparency mechanisms A Lucic, M Srikumar, U Bhatt, A Xiang, A Taly, QV Liao, M de Rijke arXiv preprint arXiv:2103.14976, 2021 | 4 | 2021 |
| A View From Somewhere: Human-Centric Face Representations JTA Andrews, P Joniak, A Xiang arXiv preprint arXiv:2303.17176, 2023 | 3 | 2023 |
| Considerations for Ethical Speech Recognition Datasets O Papakyriakopoulos, A Xiang Proceedings of the Sixteenth ACM International Conference on Web Search and …, 2023 | 2 | 2023 |
