Alice Xiang
Alice Xiang
Senior Research Scientist (AI Ethics Lead), Sony AI
Verified email at sony.com - Homepage
Title
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
642020
On the Legal Compatibility of Fairness Definitions
A Xiang, ID Raji
arXiv preprint arXiv:1912.00761, 2019
92019
Assessing the potential impact of a nationwide class-based affirmative action system
A Xiang, DB Rubin
Statistical Science, 297-327, 2015
92015
Unlocking the potential of art investment vehicles
A Xiang
Yale LJ 127, 1698, 2017
72017
Machine Learning Explainability for External Stakeholders
U Bhatt, MK Andrus, A Weller, A Xiang
arXiv preprint arXiv:2007.05408, 2020
52020
Reconciling Legal and Technical Approaches to Algorithmic Bias
A Xiang
Tennessee Law Review 88 (3), 2021, 2020
22020
Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty
U Bhatt, Y Zhang, J Antorán, QV Liao, P Sattigeri, R Fogliato, ...
arXiv preprint arXiv:2011.07586, 2020
12020
" 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
arXiv preprint arXiv:2011.02282, 2020
12020
Affirmative Algorithms: The Legal Grounds for Fairness as Awareness
DE Ho, A Xiang
arXiv preprint arXiv:2012.14285, 2020
2020
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Articles 1–9