About | HeinOnline Law Journal Library | HeinOnline Law Journal Library | HeinOnline
LOG IN
LOG IN

24 Hous. J. Health L. & Pol'y 1 (2025)

handle is hein.journals/hhpol24 and id is 1 raw text is: 24(1) Hous. J. Health L. & Policy 1 Copyright © 2025 Seth J. Chandler Houston Journal of Health Law & Policy COMPARED TO WHAT?: TIHE PARAMOUNT QUESTION IN THE REGULATION OF MEDICAL AI Seth J. Chandler, JD* I. INTRODUCTION...........................................................................................1 II. THE SYMPOSIUM PIECES .........................................................................20 III. PRIVACY, DATA INTEGRITY, AND FAIRNESS.........................................25 A. Privacy ........................................................................................26 B. Data Integrity..............................................................................56 C. Fairness .......................................................................................61 IV. CONCLUSION.........................................................................................73 I. INTRODUCTION The papers in this symposium deal with crucial issues of privacy, accuracy, and fairness the world will encounter as artificial intelligence rockets through its current adolescence1 to an adulthood that promises * Foundation Professor of Law, University of Houston Law Center. I express my appreciation to GPT-4, Claudes 2 and 3, Google Gemini, Mixtral 8 x 7B and sev- eral other AIs consulted during the research and drafting of this article. Humans who helped include Professor Leah Fowler, University of Houston Law Center and Dean Mary Anne Bobinski, Emory University. 1 It is sometimes difficult to realize how far we have come in just the past few years. The article, Attention is All You Need, that ignited the Large Language Model revolution was first pub- lished in 2017. Ashish Vaswani et al., Attention is All You Need, ARXIV (June 12, 2017), https://arxiv.org/pdf/1706.03762. It showed the ability of a then-novel neural network ar- chitecture called the Transformer to emulate an understanding of language. GPT-2 - was released in February 2019. It implemented and trained a multi-headed transformer in a way that now seems somewhat primitive but was then thought to be so dangerous as to

What Is HeinOnline?

HeinOnline is a subscription-based resource containing thousands of academic and legal journals from inception; complete coverage of government documents such as U.S. Statutes at Large, U.S. Code, Federal Register, Code of Federal Regulations, U.S. Reports, and much more. Documents are image-based, fully searchable PDFs with the authority of print combined with the accessibility of a user-friendly and powerful database. For more information, request a quote or trial for your organization below.



Short-term subscription options include 24 hours, 48 hours, or 1 week to HeinOnline.

Purchase Access

Contact us for annual subscription options:

Contact Us

Already a HeinOnline Subscriber?

Log In

profiles profiles most