Alice Xiang

Head of Fairness, Transparency, and Accountability (FTA) Research, Partnership on AI

New York City

Alice Xiang is the Research Scientist leading and managing PAI’s team conducting research on fairness, transparency, and accountability in AI. Alice’s work sits at the intersection of social justice and AI; she seeks to address the ways in which algorithmic decision-making might further entrench societal biases and inequalities. Core areas of her research include bridging technical and legal approaches to algorithmic bias, examining explainability techniques in deployment, and assessing criminal justice risk assessment tools. She has given lectures and speeches at events hosted by the AAAS, IEEE, Simons Institute, Harvard Institute of Quantitative Social Science, Tsinghua Statistical Sciences Center, RE•WORK, and others. Alice holds a Juris Doctor from Yale Law School, a Master’s in Development Economics from Oxford, a Master’s in Statistics from Harvard, and a Bachelor’s in Economics from Harvard.