Lee Tiedrich

Navigating Complexity & Risk | Unlocking Responsible Innovation & Business Goals | Global, Multidisciplinary & Practical

Lee Tiedrich is a widely recognized leader in artificial intelligence, data, and emerging technologies with decades of public and private sector experience helping organizations around the globe develop and implement strategies to unlock benefits and value while managing risks. She served as a Senior AI Advisor for the US National Institute of Standards and Technology (NIST), which leads US efforts to develop frameworks for measuring, evaluating, and managing technology-related benefits and risks. She has served as a consultant to the OECD and is the lead author of the OECD’s policy paper titled, “Intellectual Property Issues in Artificial Intelligence Trained on Scraped Data,” which was approved by more than 40 countries. Lee also serves as a Senior Adviser and contributor to the 2025 and 2026 International Scientific Report on the Safety of Advanced AI, led by Yoshua Bengio and supported by more than 30 countries and multilateral organizations. She’s also a member of both the OECD and Global Partnership on AI (GPAI) expert groups and co-chairs both the GPAI Responsible AI Strategy for the Environment (RAISE) committee and the GPAI Intellectual Property Advisory Committee. The EU AI Office appointed her to its working group on AI Codes of Practice. In addition to her cutting-edge and solution-oriented policy and government work, Lee has over 30 years of private sector experience helping companies and other organizations develop and execute business strategies while managing risks. 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 organizations on a broad range of technology, corporate, regulatory, governance, and global affairs matters. Lee is currently an AIM (AI Multidisciplinary) Initiative Fellow at the University of Maryland and a Visting Professor of the Practice at the Information Sciences School. She has held several appointments at Duke University, including Distinguished Faculty Fellow in Law and Responsible Technology, Executive in Residence, and Responsible Technology Scholar in AI. With degrees in both electrical engineering and law, Lee speaks frequently to government leaders and at leading institutions around the globe, such as the AI Impact Summit, the Council on Foreign Relations, the Federal Judicial Center, the National Judicial College, the OECD, COP-27, GPAI, the World Bank, WIPO, and the UN AI High Level Advisory Board. She has held leadership positions with the American Bar Association and has served as a peer reviewer for Oxford University Press. She has been selected for Marquis’ Who’s Who and received a Duke Women Innovators Award in 2023. Lee is a member of the Editorial Board of the Journal for AI Law and Regulation and has several publications. She authored a chapter for the forthcoming book to be published by Springer Nature, titled, “The Artificial Intelligence Revolution.” She’s 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 Duke’s 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.