Ayelet
Gordon-Tapiero
Gordon-Tapiero
Ayelet is a postdoctoral fellow at the Benin School of Computer Science and Engineering at the Hebrew University of Jerusalem, and a research fellow at the Federmann Cybersecurity Center.
Additionally, Ayelet serves as the academic director of the Just Lab, an ERC funded project exploring the ways that the law of unjust enrichment can be used in the context of public policy.
Previously, Ayelet completed her PhD in the Law Faculty at the Hebrew University of Jerusalem, as well as a postdoc research fellowship as a Fritz Fellow at Georgetown University's Initiative on Tech & Society.
Ayelet is a member of the Privacy Law Scholars Conference Junior Scholars Council and of the ACM CS&LAW '26 Program Committee.
In her research, Ayelet is committed to developing an interdisciplinary approach to the field of law and technology. As technology continues developing at a neck breaking speed, the proper legal response must be based on a meaningful understanding of the technology at hand.
Ayelet's primary research interests focus on platform governance, power and liability, privacy and data protection and on bridging the gap between law and computer science.
Deepfake Liability, 104 N.C. L. Rev. 377 (2026) (with Gideon Parchomovsky & Yotam Kaplan).
Unreal and Unjust: An Enrichment-Based Approach to the Deepfake Dilemma, 18 J. Tort L. 493 (2025).
Agents of Chaos, arXiv:2602:20021 (2026) (led by Natalie Shapira).
On the Rival Nature of Data: Tech and Policy Implications, ACM Symp. On Comput. Sci. & Law (2025) (with Katrina Ligett & Kobbi Nissim).
Generative AI Training as Unjust Enrichment, 86 Ohio St. L. J. 287 (2025) (with Yotam Kaplan) (Winner of Carnegie Endowment for International Peace Award for AI and Liability).
Fact and Friction: A Case Study in the Fight Against False News, 57 U.C. Davis L. Rev. 171 (2023) (with Paul Ohm & Ashwin Ramaswami) (honorable mention for the 2024 Lolly Gasaway Writing Award).