Declan Tomlinson
dtomlinson@SanDiego.edu
(619) 260-4179
Assistant Professor
- JD, 2024, Harvard Law School
- MS, 2016, Stanford University
- BS, 2015, Stanford University
- BA, 2015 Stanford University
Eun Soo “Christina” Lee is a technology law scholar who explores how the law should address the harms of emerging technologies, particularly artificial intelligence (AI). She examines how the complexity of the tech ecosystem—how actors in the tech industry interact with each other to produce, develop, and deploy products and services powered by emerging technologies—challenges the efforts to use traditional legal frameworks that predate the rise of AI to address the harms of AI.
Professor Lee began her professional career at Microsoft Corporation, where she advanced to senior program manager, before transitioning to the legal profession, and served as the inaugural Privacy and Technology Law Fellow and a Visiting Associate Professor of Law at the George Washington University Law School before joining USD Law. Her work has been published or is forthcoming in venues such as the UC Irvine Law Review, the Harvard Journal of Law & Technology, and the Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency. Her publication on the remedy of algorithmic disgorgement received the Privacy Papers for Policymakers Award by the Future of Privacy Forum.
Professor Lee holds a JD, cum laude, from Harvard Law School, where she was a submissions manager and symposium articles editor for the Harvard Journal of Law & Technology. At Stanford University, she earned an MS in computer science, with a specialization in AI, a BS in mathematics, and a BA in international relations, both with distinction, and was elected to Phi Beta Kappa.
Scholarly Work
- AI Agents’ Shadow Principals, 17 UC Irvine Law Review (forthcoming 2027)
- Beyond Algorithmic Disgorgement: Remedying Algorithmic Harms, 16 UC Irvine Law Review (forthcoming 2026)
- Protecting Consumers in the Interactions Behind AI Agents, 40 Harvard Journal of Law and Technology (forthcoming 2026)
- Consistently Arbitrary or Arbitrarily Consistent: Navigating the Tensions Between Homogenization and Multiplicity in Algorithmic Decision-Making, FAccT ’25: Procs. 2025 ACM Conf. on Fairness, Accountability, and Transparency 3336 (2025) (with Shira Gur-Arieh)