"Connecting State-of-the-Art AI Development to Clinical Health Care: Opportunities, Governance, and the Path Forward"
Wednesday, August 12, 2026
International Convention Center Jeju (ICC-Jeju)
224 Jungmungwangwang-ro, Seogwipo City, Jeju, Korea
(Room 400 on 4th Floor of the International Convention Center Jeju, <see ICC-Jeju Floor Plan>)
(see detailed agenda in Scientific Program)
Featured Speakers
AI continues to drive transformation across industries, and its role in biomedicine and healthcare has become increasingly critical. KDD2026 HealthDay is dedicated to exploring how state-of-the-art AI development can connect to the frontlines of clinical health care — from building responsible policy foundations and accelerating biomedical discovery to translating AI innovations into ethical, governance-ready clinical applications. We have invited global leaders from NIH, NSF, leading academic medical centers, and research institutions to share their vision for how AI-driven knowledge discovery can meaningfully improve patient outcomes and health systems worldwide.
Panel Discussions
Open dialogue among all attendees, including prominent investigators, health practitioners, and policymakers in the field, to address the following questions. (see details in the Scientific Program)
Panel Discussion "AI Platforms in Healthcare: Privacy/HIPAA Compliance"
How can national research networks build shared AI systems that protect patient privacy by keeping data where they are, rather than pooling them all in one spot?
What’s the best way for funding agencies to help smaller, community clinics play a real role in building and training diverse, privacy-safe AI?
With HIPAA written well before AI applications in medicine and modern healthcare data-sharing came along, where do you think current privacy laws are falling behind?
Privacy harms in healthcare AI are often not evenly distributed. Communities with a history of medical mistreatment often face unique privacy risks. How should our rules address group-level harms, even when single individuals aren't directly exposed?
If you could tweak just one policy, guideline, or habit to make privacy-friendly healthcare AI a reality in the next two years, what would you fix first?
Panel Discussion "Enhanced Clinical Data Governance in the Era of Generative AI"
As AI-created materials—like synthetic data, digital twins, or automated outputs—flow into healthcare, how do we need to adapt our rules to keep that information safe and accurate?
When an AI tool plays a part in a medical mistake or wrong diagnosis, who actually takes responsibility today—and is that current system fair?
What kind of data guardrails need to be in place before hospitals can safely run generative AI on a large scale, and how close are most health systems to being ready?
Since AI models are often built and used across different countries with different laws, what would real global cooperation look like—and is it actually doable?
After a full day of discussion spanning policy, programs, and clinical application: what is the single data governance problem that, if solved, would have the greatest downstream impact on the responsible use of generative AI in biomedicine?
