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Alice Xiang
Alice Xiang
Lead Research Scientist (AI Ethics), Sony AI
Verified email at sony.com - Homepage
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Cited by
Cited by
Year
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
3822020
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
922021
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
722022
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
662021
Machine learning explainability for external stakeholders
U Bhatt, MK Andrus, A Weller, A Xiang
arXiv preprint arXiv:2007.05408, 2020
402020
On the legal compatibility of fairness definitions
A Xiang, ID Raji
arXiv preprint arXiv:1912.00761, 2019
382019
Reconciling Legal and Technical Approaches to Algorithmic Bias
A Xiang
Tennessee Law Review 88 (3), 2021, 2020
302020
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
172021
Affirmative algorithms: The legal grounds for fairness as awareness
DE Ho, A Xiang
U. Chi. L. Rev. Online, 134, 2020
142020
Unlocking the potential of art investment vehicles
A Xiang
The Yale Law Journal 127 (6), 1698-1741, 2018
142018
Assessing the potential impact of a nationwide class-based affirmative action system
A Xiang, DB Rubin
Statistical Science, 297-327, 2015
142015
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
42021
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. AAAI Press, 2021
42021
Promises and Challenges of Causality for Ethical Machine Learning
A Rahmattalabi, A Xiang
arXiv preprint arXiv:2201.10683, 2022
32022
Towards the Use of Saliency Maps for Explaining Low-Quality Electrocardiograms to End Users
A Lucic, S Ahmad, AF Brinhosa, V Liao, H Agrawal, U Bhatt, K Kenthapadi, ...
arXiv preprint arXiv:2207.02726, 2022
12022
Being'Seen'vs.'Mis-Seen': Tensions between Privacy and Fairness in Computer Vision
A Xiang
Harvard Journal of Law & Technology, Forthcoming, 2022
12022
Men Also Do Laundry: Multi-Attribute Bias Amplification
D Zhao, JTA Andrews, A Xiang
arXiv preprint arXiv:2210.11924, 2022
2022
Attrition of Workers with Minoritized Identities on AI Teams
J Brown, T Park, J Chang, M Andrus, A Xiang, C Custis
Equity and Access in Algorithms, Mechanisms, and Optimization, 1-9, 2022
2022
Regulating Facial Processing Technologies: Tensions Between Legal and Technical Considerations in the Application of Illinois BIPA
RJ Yew, A Xiang
2022 ACM Conference on Fairness, Accountability, and Transparency, 1017-1027, 2022
2022
A View From Somewhere: Human-Centric Face Representations
JTA Andrews, P Joniak, A Xiang
Workshop on Trustworthy and Socially Responsible Machine Learning, NeurIPS 2022, 0
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Articles 1–20