

Sandbox to Scale: What Utah Is Learning About Autonomous AI in Health Care
Health AI Hub Collaboratory Rounds bring together experts and practitioners to share and explore various aspects of AI lifecycle management in healthcare. These monthly gatherings are designed to keep you informed about the latest trends, best practices, and challenges in the dynamic field of healthcare AI.
Utah's AI regulatory sandbox, created under the state's 2024 Artificial Intelligence Policy Act, lets companies test AI tools under time-limited agreements that relax specific state laws, with monthly reporting and the option to end an agreement if safety concerns come up. In this special session, Dr. Zach Boyd of the Utah Office of Artificial Intelligence Policy and Dr. Jonathan Olsen of the Utah Medical Licensing Board discuss how their offices work together to run health care pilots in the sandbox. Ashley Carr, a partner at DLA Piper, will moderate and bring a regulatory view on what Utah's experience means for the rest of the country.
Zach and Jonathan will walk through how the sandbox works and the projects running in it, including Doctronic's AI prescription renewal pilot. Right now, every renewal the AI recommends goes to a physician for review before it reaches a pharmacy. They'll share what the first months of data show and how the two offices divide the work of vetting pilots and keeping patient safety at the center as the AI takes on more of the decision. Ashley will then lay out what it would take for this model to scale beyond Utah. The session closes with audience Q&A.
Speakers
Zachary Boyd, PhD
Dr. Zachary Boyd, PhD, is the Director of the Office of Artificial Intelligence for the State of Utah, where he leads out on developing AI regulatory policy and clearing paths for novel business applications of AI. He is on long-term leave from his role as a professor at BYU where he teaches applied and computational mathematics. Dr. Boyd’s research lab focuses on artificial intelligence, machine learning, and mathematical modeling in social science applications, such as psychology, economics, and social networks. Before working at BYU, Dr. Boyd was a postdoctoral research associate at the University of North Carolina at Chapel Hill, an NDSEG Fellow at UCLA, a research associate at Los Alamos National Laboratory, and a Presidential Scholar at BYU
Jonathan Olsen, DO
Dr. Jonathan Olsen, DO, is board-certified allergist/immunologist and Assistant Professor with over a decade of clinical experience. Over the past several years, his work has increasingly focused on physician leadership and governance. He currently serves on the Utah Medical Licensing Board, was elected to the nominating committee of the Federation of State Medical Boards, and also serves as Secretary of the American Society of Osteopathic Medical Regulators. He has served on the board of directors for a large multi-specialty medical group as well as on the board of that group’s charitable foundation and has participated in diagnostic and credentialing committees overseeing activities that impact physicians across the system.
He currently works with local and national stakeholders to develop safe, equitable AI health policy for clinical care. He is particularly committed to equity for underserved and marginalized communities and to using AI and digital tools to reduce burden and improve care rather than amplify bias. Looking ahead, he is drawn to opportunities where he can contribute to system-level quality, physician governance, and ethical AI deployment in clinical care.
Ashley Carr, JD
Ashley Carr, JD, advises companies on the legal and practical challenges of developing, deploying, and governing artificial intelligence. She helps clients create enterprise governance programs, policies, and standards; assess higher-risk use cases; conduct legal red teaming and other testing; and prepare for incidents, investigations, and regulatory scrutiny. Her work spans the AI lifecycle, from initial evaluation and deployment through ongoing monitoring and risk management.
Ashley works with Fortune 500 companies and other organizations across a range of industries, with a particular focus on healthcare and life sciences. She counsels executive leaders and legal, compliance, privacy, security, product, and technology teams on balancing innovation with legal, regulatory, operational, and reputational risk. Her clients include healthcare, pharmaceutical, medical device, technology, and software companies.
Ashley is also a seasoned products liability and commercial litigator. She represents companies in commercial and product liability disputes, including precedent-setting matters involving AI and software. Her litigation experience gives her a practical understanding of how emerging technology risks can develop into regulatory inquiries and disputes. She draws on that perspective to help clients identify potential exposure early and develop effective governance and response strategies.
Ashley regularly writes and speaks about generative AI, machine learning, software systems, and the evolving legal and regulatory landscape.
Ashley also maintains an active pro bono practice. She has served as pro bono counsel for the Animal Legal Defense Fund and for individual clients in family law, criminal, and immigration matters. For several years, she has represented a death row inmate in a habeas corpus application seeking a new trial based on the state’s withholding of exculpatory evidence. Ashley is a recipient of the Judge Thomas Gibbs Gee Award for outstanding pro bono service.