From Principles to Practice: Exploring AI Governance in Health Systems

During this public webinar, Duke-Margolis and Duke Health will dive deeper into the topic of their newly released white paper on how health systems are navigating the role of AI governance. The webinar will begin with an overview presentation of key takeaways from the white paper followed by a fireside chat where experts will discuss the benefits of governance, as well as lessons learned while building their own AI governance processes. After the fireside chat, there will be a panel discussion on methods and supports to facilitate the democratization of AI governance so more health organizations can safely and responsibly use these novel tools.

AI governance is the practice of reviewing, assessing, and evaluating individual AI tools to ensure that they can be used safely, responsibly, fairly, and effectively with the health system’s patient population and in compliance with applicable laws. The benefits of a good governance system include visibility into the AI tools being used within the health system; predictability of the information needed to review, implement, and monitor an AI tool; transparency into the governance process; standardization of the procedures for evaluation, risk assessment, and risk mitigation; clear lines of accountability; and centralized and standardized documentation on each tool’s assessment and testing.  When designing a governance system, health systems should start with a clear articulation of the principles and goals of governance for that health system and identification of stakeholders that should be involved in the governance process.