In This Episode

  • Guest Alice Xiang, Head of Fairness, Transparency, and Accountability Research at the Partnership on AI, talks with host Abigail Hing Wen, Intel AI Tech Evangelist and New York Times best-selling author, about algorithmic fairness—the study of how algorithms might systemically perform better or worse for certain groups of people and the ways in which historical biases or other systemic inequities might be perpetuated by algorithmic systems.

  • The two discuss the lofty goals of the Partnership on AI, why being able to explain how a model arrived at a specific decision is important for the future of AI adoption, and the proliferation of criminal justice risk assessment tools.

  • Follow Alice on Twitter

  • Follow Abigail on Twitter

  • Learn more about Intel’s work in AI

author-image

By

Speaker: Alice Xiang - Head of Fairness, Transparency, and Accountability Research at the Partnership on AI

Algorithmic Fairness with Alice Xiang – Intel on AI Season 2, Episode 12

Bio:

Alice Xiang is the Head of Fairness, Transparency, and Accountability Research at the Partnership on AI, where she leads a team of interdisciplinary researchers conducting research on algorithmic fairness, explainability, criminal justice risk assessment tools, and diversity and inclusion in the field of AI. Alice’s work sits at the intersection of social justice and AI; she seeks to tackle the ways in which algorithmic decision-making can potentially reflect or entrench societal inequities.

She previously taught a course on “Algorithmic Fairness, Causal Inference, and the Law” at Tsinghua University’s Yau Mathematical Sciences Center, where she was a Visiting Scholar. She has also given lectures and speeches at events hosted by the AAAS, IEEE, Harvard Institute of Quantitative Social Science, Tsinghua Statistical Sciences Center, and Simons Institute, among others.

Alice’s research has been published in peer-reviewed machine learning conferences, statistics journals, and law reviews. She has also been quoted in the Wall Street Journal, Fortune, the MIT Tech Review, and Wired, among others.

Alice has previously worked as an attorney, representing startups and venture capital firms, and as a data scientist developing machine learning algorithms. 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.