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Shira Gur-Arieh is an S.J.D. candidate at Harvard Law School whose research focuses on law and artificial intelligence. 

She is interested in what these technologies capture — and what they leave out — when they automate the work of law, and in the consequences for legal decision-making and the legitimacy of legal institutions. Her research has received the Reidenberg Award for Outstanding Scholarship, the Best Paper Award at We Robot, and an Honorable Mention for Best Paper at ACM FAccT. She has also conducted research at the Centre for the Governance of AI (GovAI) and Northeastern University’s Ethics Institute. At BKC, she co-organizes the AI Governance Working Group and previously served as a Graduate Student Fellow. Before beginning her doctorate, Shira received her LL.M. from Harvard Law School and her LL.B. from the Hebrew University of Jerusalem, and clerked for the Chief Justice of the Supreme Court of Israel.
 

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SSRN

Ambiguity Collapse by LLMs

A Taxonomy of Epistemic Risks

Affiliate Shira Gur-Arieh and coauthors coin "ambiguity collapse," a phenomenon that arises when LLMs collapses polysemous terms into singular, flattened meanings.

Jan 26, 2026
arXiv

Comparing Apples to Oranges

A Taxonomy for Navigating the Global Landscape of AI Regulation

With Sacha Alanoca and Kevin Klyman, Affiliates Shira Gur-Arieh and Tom Zick “present a taxonomy to map the global landscape of AI regulation.”

May 19, 2025