Alice Xiang

Alice Xiang
AwardsPrivacy Papers for Policymakers Award
Academic background
Alma materUniversity of Oxford, Yale University, Harvard University
Academic work
InstitutionsSony AI, Partnership on AI

Alice Xiang is a lawyer, statistician and global head of AI governance at Sony AI, and was named by Nature as one of ten scientists to watch in 2026.[1] Xiang previously worked at the Partnership on AI.

Education and career

Xiang studied at Yale Law School, and earned a master's in development economics from the University of Oxford, and both a bachelor's in economics and a master's in statistics from Harvard.[2]

In 2021, Women in AI Ethics included Xiang as one of their 100 Brilliant Women in AI Ethics.[3] Xiang received the Privacy Papers for Policymakers Award from the Future of Privacy Forum in 2025, for her essay Mirror, Mirror, on the Wall, Who's the Fairest of Them All?.[4]

Xiang is global head of AI governance at Sony AI, and was named by Nature as one of ten scientists to watch in 2026.[1][5] Xiang led the development of a dataset of more than 10,000 ethical images of humans, named the Fair Human-Centric Image Benchmark (FHIBE), which was collected in a manner "that reflects diversity, mitigates bias, protects intellectual-property rights and includes consent".[6]

Previously she worked for the Partnership on AI, where she was head of fairness, transparency, and accountability research. Xiang also held the role of visiting scholar at Tsinghua University. Xiang was chair of the ACM Conference on Fairness, Accountability, and Transparency.[7]

Selected works

  • Alice Xiang; Jerone T. A. Andrews; Rebecca L. Bourke; et al. (5 November 2025). "Fair human-centric image dataset for ethical AI benchmarking". Nature. 648 (8092): 97–108. doi:10.1038/S41586-025-09716-2. ISSN 1476-4687. Wikidata Q137685229.
  • Wiebke (Toussaint) Hutiri; Orestis Papakyriakopoulos; Alice Xiang (5 June 2024), Not My Voice! A Taxonomy of Ethical and Safety Harms of Speech Generators, Association for Computing Machinery, pp. 359–376, arXiv:2402.01708, doi:10.1145/3630106.3658911, Wikidata Q131164162
  • Bhatt, Umang; Xiang, Alice; Sharma, Shubham; Weller, Adrian; Taly, Ankur; Jia, Yunhan; Ghosh, Joydeep; Puri, Ruchir; Moura, José M. F.; Eckersley, Peter (27 January 2020). "Explainable machine learning in deployment". Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency. ACM. pp. 648–657. arXiv:1909.06342. doi:10.1145/3351095.3375624. ISBN 978-1-4503-6936-7.
  • Bhatt, Umang; Antorán, Javier; Zhang, Yunfeng; Liao, Q. Vera; Sattigeri, Prasanna; Fogliato, Riccardo; Melançon, Gabrielle; Krishnan, Ranganath; Stanley, Jason; Tickoo, Omesh; Nachman, Lama; Chunara, Rumi; Srikumar, Madhulika; Weller, Adrian; Xiang, Alice (21 July 2021). "Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty". Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society. ACM. pp. 401–413. doi:10.1145/3461702.3462571. ISBN 978-1-4503-8473-5.
  • Andrus, McKane; Spitzer, Elena; Brown, Jeffrey; Xiang, Alice (3 March 2021). "What We Can't Measure, We Can't Understand: Challenges to Demographic Data Procurement in the Pursuit of Fairness". Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency. ACM. pp. 249–260. doi:10.1145/3442188.3445888. ISBN 978-1-4503-8309-7.
  • "Mirror, Mirror, on the Wall, Who's the Fairest of Them All?". Daedalus. 28 February 2024. Retrieved 4 January 2026 – via American Academy of Arts and Sciences.

References

  1. ^ a b "Nature's 10: Ten people who shaped science in 2025". www.nature.com. Retrieved 4 January 2026.
  2. ^ "Alice Xiang – Sony AI". Sony AI – Unleash Human Imagination and Creativity with AI. Retrieved 4 January 2026.
  3. ^ "2021". Women in AI Ethics™. Retrieved 4 January 2026.
  4. ^ "Sony AI's Alice Xiang Honored by Future of Privacy Forum with Privacy Papers for Policymakers Award – Sony AI". Sony AI – Unleash Human Imagination and Creativity with AI. Archived from the original on 6 November 2025. Retrieved 4 January 2026.
  5. ^ "Alice Xiang | American Academy of Arts and Sciences". www.amacad.org. Retrieved 4 January 2026.
  6. ^ Scheirer, Walter J. (December 2025). "Ethically sourced image data set encourages fairness in AI research". Nature. 648 (8092): 45–46. Bibcode:2025Natur.648...45S. doi:10.1038/d41586-025-03643-y. ISSN 1476-4687. PMID 41219428.
  7. ^ "Alice Xiang – LESI Montreal 2023". Retrieved 4 January 2026.
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