Harvard Petrie-Flom Center Calls for Abstracts on Generative AI in Healthcare Regulation
Policy questions frame how AI tools could be overseen in medicine.
What happened
The Petrie-Flom Center announced its 2027 Annual Conference on Generative AI in Healthcare and opened abstract submissions with a December deadline. The center outlined key governance questions to guide future scholarship and policy.
Why it matters
The call signals an intent to shape law and regulation as AI becomes part of healthcare, highlighting needs for safety, oversight, and fair governance while acknowledging uncertainty.
The Petrie-Flom Center at Harvard Law School announced its 2027 Annual Conference on Generative AI in Healthcare: Law and Regulation, inviting abstracts with a December deadline. The event aims to explore how laws and rules could guide the use of generative AI in clinical settings and financing structures, with participants later sharing work at a writers’ workshop.
This article summarizes the conference’s intent to balance innovation with safeguards, noting that the governance questions include deployment, supervision, monitoring, and accountability in healthcare delivery, while recognizing the variability of AI tools across contexts.
What this does not tell us
The summary relies on a conference call and calls for abstracts; it does not report any observed outcomes or results.
FOR PEOPLE
No direction statedThis piece explains why policymakers and the public should follow how AI in medicine is studied and governed.
FOR AI AND ITS OPERATORS
No direction statedThis report frames policy questions and governance considerations without overstating immediate clinical effects.
These are two separate readings of what the sources describe. Reported claims and risks do not by themselves establish a real-world effect.
Original sources · 1
- Call for Abstracts , 2027 Petrie-Flom Center Annual Conference: Generative AI in Healthcare: Law & Regulation ↗Petrie-Flom Center · 2026-10-22
Reporting discovered in Canada. Discovery market does not mean the event happened there.
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