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	''For inquiries about talks and consulting, please contact Bryant. Please note that these services do not include legal advice or representation or otherwise constitute an attorney-client relationship.''		''For inquiries about talks and consulting, please contact Bryant. Please note that these services do not include legal advice or representation or otherwise constitute an attorney-client relationship.''

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 # '''[https://www.businessinsider.com/the-ultimate-guide-for-taking-a-robotaxi-in-china-2026-2 The Ultimate Guide to Taking a Robotaxi in China]''' (2026) (with Sven Beiker). This brief article explains how to ride in multiple companies' robotaxis in multiple Chinese cities.
 # '''[https://papers.ssrn.com/abstract=5631391 "Self-Driving" Means Self-Driving]''' (2025). Tesla uses the name "Full Self-Driving" to market a driver assistance system that still requires its user to pay attention to the road. And yet, as this article documents, there is a broad consensus among developers and regulators of motor vehicle technologies, including Tesla itself, that the term "self-driving" correctly refers only to a system whose user does not need to pay attention. This conclusion is foundational to ongoing legal proceedings around the world.
-# '''[https://ssrn.com/abstract=5595951 Regulating Robotaxis]''' (2025) (with Matthew Wansley). This article offers a plan to regulate robotaxis focused on pragmatic internalization of external costs, competition in transportation markets, and livability of communities.
+# '''[https://ssrn.com/abstract=5595951 Regulating Robotaxis]''', Southern California Law Review (2025) (with Matthew Wansley). This article offers a plan to regulate robotaxis focused on pragmatic internalization of external costs, competition in transportation markets, and livability of communities.
-# '''[https://papers.ssrn.com/abstract=5034907 Ideal Enforcement: How Do We Achieve Optimal Enforcement of Traffic Law as Ubiquitous Enforcement Becomes Technologically Conceivable?]''' (2024) (with Jeffrey Michael and Johnathon Ehsani). This interdisciplinary article uses traffic law as a case study for how automation and private monitoring could drive a dramatic increase in overall enforcement -- and presents principles for an alternative vision of ideal enforcement.
+# '''[https://papers.ssrn.com/abstract=5034907 Ideal Enforcement: How Do We Achieve Optimal Enforcement of Traffic Law as Ubiquitous Enforcement Becomes Technologically Conceivable?]''', Michigan Technology Law Review (2024) (with Jeffrey Michael and Johnathon Ehsani). This interdisciplinary article uses traffic law as a case study for how automation and private monitoring could drive a dramatic increase in overall enforcement -- and presents principles for an alternative vision of ideal enforcement.
 # '''[https://newlypossible.org/files/presentations/2023-12-16_AcademicVisionforAI.pdf An Academic Vision for AI]''' (2023), based on [https://cyberlaw.stanford.edu/blog/2023/04/academic-vision-ai-ethics An Academic Vision for AI Ethics] (2022). This brief statement describes how universities might approach artificial intelligence.
 # '''[https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4227719 DALL-E Does Palsgraf]''', 14 Journal of Law, Technology, and the Internet 82 (2023). This article asks a leading artificial intelligence (AI) tool for image generation to illustrate the facts of a leading law school case. It introduces machine learning generally, summarizes the seminal case of Palsgraf v. Long Island Railroad, presents the images that the tool created based on the facts as the majority and dissent recount them, and then translates this exercise into lessons for how lawyers and the law should think about AI.

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