Navigating Privacy, Policy, and Regulatory Risk for Healthcare AI
A fireside chat on building and deploying artificial intelligence in healthcare without creating regulatory risk. October 2026, 1:00–2:00 p.m. ET, virtual on Zoom.
Artificial intelligence is rapidly transforming healthcare, biotechnology, and digital health, but with that innovation comes increasing regulatory scrutiny and real legal risk.
Privacy law, FDA expectations, and the enforcement record are the social determinants of a healthcare AI tool: they decide whether it can be built and deployed without creating legal risk.
The Johns Hopkins Center for Bioengineering Innovation and Design held the conversation on how innovators can build and deploy AI solutions while navigating complex data privacy laws and evolving FDA expectations, bringing together legal, regulatory, and innovation perspectives on the responsible development of AI in healthcare.
The session is part of the Nexus Huddle Series, virtual conversations advancing partnership, policy, and public good at the intersection of technology and community impact, leading up to the 2027 Nexus Harbor Summit.
Topics
- When AI solutions cross into FDA-regulated territory
- Data privacy risks in AI development and deployment
- Lessons from recent enforcement actions and litigation
- Practical strategies for building compliant, scalable AI programs
Speakers
Todd L. Mayover, Esq., CIPP/E, CIPP/US, Founder and Principal Consultant, Privacy Aviator LLC.
Jonathan Helfgott, MS, Senior Lecturer and Program Coordinator, Biotechnology and Regulatory Science, Johns Hopkins University, Krieger School of Arts and Sciences.
Who should attend
Innovators, engineers, clinicians, founders, scientists, and healthcare policy professionals working at the intersection of technology, healthcare, and regulation.
