Lee Tiedrich is a widely recognised leader in artificial intelligence, data, and emerging technologies. She is a member of both the OECD and Global Partnership on AI (GPAI) AI expert groups and co-chairs both the GPAI Responsible AI Strategy for the Environment (RAISE) committee and the GPAI Intellectual Property Advisory Committee.
With a degree in electrical engineering and over 30 years of legal experience, Lee has a long career helping organisations navigate uncertainty to achieve their objectives. She was a partner at the global law firm Covington & Burling LLP, where she led the firm’s global and multi-disciplinary AI Initiative and counselled organisations on a broad range of data and technology matters, including digital transformation, AI and data governance, policy, intellectual property, regulatory, transactions and other corporate matters. She holds three appointments at Duke University, including Distinguished Faculty Fellow in Law and Responsible Technology, Executive in Residence, and Responsible Technology Scholar in AI Health.
Lee speaks frequently to government leaders and at leading institutions, such as the Council on Foreign Relations, the Federal Judicial Center, the National Judicial College, the OECD, COP-27, GPAI, WIPO, and at leading universities. She has held leadership positions with the American Bar Association and has served as a peer reviewer for Oxford University Press. She will be co-chairing a special track addressing the global perspectives on the governance of data sets used for AI at the upcoming Data for Policy 2024 Conference, co-hosted by the Imperial College of London, Cambridge University Press, and others.
Lee is a co-author of the forthcoming casebook, The Law of Artificial Intelligence (West Academic 2024) and has several other publications. She is a member of the CEIMIA Board of Directors. She served on the Biden Campaign Policy Committee and is registered to practice before the US Patent and Trademark Office. She graduated from the University of Pennsylvania Law School and earned a B.S.E. in electrical engineering from Duke University, with both Phi Beta Kappa and Tau Beta Pi honors. Prior to joining the Duke faculty, she chaired the Strategy Committee of the Duke Engineering School Board of Visitors and was an adjunct faculty member at the University of Pennsylvania Law School.
Featured publications:
Scraped data can advance social good and do harm. How do we get it right?
March 5, 2024 — 8 min read
Society must meet the AI data challenge.
October 19, 2023 — 7 min read
As enforcement expands, the question becomes how best to build more capacity.
January 9, 2023 — 7 min read
AI computing has positive and negative effects on the planet.
November 17, 2022 — 5 min read
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