Alice Xiang
Alice Xiang is a lawyer and statistician who works on fairness and ethical data in AI. After studying economics and statistics at Harvard, economics at Oxford and law at Yale, she led fairness, transparency, and accountability research at the Partnership on AI. At Sony AI she created the AI ethics research lab in 2020, and her paper "Position: Measure Dataset Diversity, Don't Just Claim It" won a Best Paper Award at ICML 2024. In 2025 she led the Fair Human-Centric Image Benchmark (FHIBE), published in Nature, and Nature named her one of its Ones to Watch for 2026. She is Global Head of AI Governance and a Vice President at Sony, and Lead Research Scientist directing a lab for responsible AI.
- Now at
- Sony
- Links
- Website and Google Scholar
Timeline
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By 2014
Harvard, Oxford and data science
She earns a bachelor's degree in economics and a master's degree in statistics at Harvard, and a master's degree in development economics at Oxford. In 2014, as a data scientist at a technology company, she builds her first commercial machine learning model and finds no guidelines for assessing biases in its data.
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By 2020
Yale Law and Partnership on AI
She earns a J.D. at Yale Law School and works at the Partnership on AI as head of fairness, transparency, and accountability research. In 2019, she coauthors the arXiv study "Explainable Machine Learning in Deployment," which explores how organizations view and use explainability. In 2020, she serves on the Partnership on AI's leadership team.
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2020
An AI ethics lab at Sony AI
She creates the AI ethics research lab at Sony AI in 2020, and her role soon grows to include AI ethics governance for Sony.
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2022
General Chair of FAccT 2022
She serves as General Chair of the 2022 ACM Conference on Fairness, Accountability, and Transparency.
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2024
ICML Best Paper on dataset diversity
Her paper "Position: Measure Dataset Diversity, Don't Just Claim It," written with Dora Zhao, Jerone Andrews and Orestis Papakyriakopoulos, wins a Best Paper Award at ICML 2024. The paper reviews 135 image and text datasets and applies measurement theory to how dataset diversity is defined and evaluated.
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2025
The FHIBE fairness benchmark
She leads the Fair Human-Centric Image Benchmark (FHIBE), a publicly available fairness dataset of 10,318 consensually collected images of 1,981 people, published in Nature in 2025. In December 2025, Nature names her one of its Ones to Watch for 2026, citing her work on and leadership of FHIBE.
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2026
Top 100 Women in AI
AI Magazine includes her in its Top 100 Women in AI for 2026.
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As of October 2026
Global head of AI governance
She is Global Head of AI Governance and a Vice President at Sony, where she leads the team shaping AI governance policies and frameworks across Sony Group's business units. She is also Lead Research Scientist, directing a lab of researchers and engineers on responsible AI.
Career
- Since 2020SonyGlobal Head of AI Governance and Vice President
- Partnership on AIHead of fairness, transparency, and accountability research
Education
- Harvard UniversityBachelor's degree in economics
- University of OxfordMaster's degree in development economics
- Yale UniversityJ.D.
Sources and credits
Photo: We have no published photo of Alice Xiang yet. Send us a free-licensed photo.
- Sights on AI: Alice Xiang Discusses the Ever-Changing Nature of AI Ethics and Sony AI's Impact on Responsible AI
- Alice Xiang – Sony AI
- Alice Xiang - Wikipedia
- AI could see "people living as second-class citizens" warns Alice Xiang
- [1909.06342] Explainable Machine Learning in Deployment
- ICML 2024 Awards
- Ushering in Needed Change in the Pursuit of More Diverse Datasets - Sony AI
- Fair human-centric image dataset for ethical AI benchmarking | Nature
- Sony AI's Alice Xiang Named Among Nature's "Ones to Watch" for 2026 for Pioneering Work in Advancing Ethical AI - Sony AI
