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AI Governance in Women's Health: Building Frameworks For Responsible Deployment
Understand how healthcare and life sciences organizations are governing AI as it moves from pilots into clinical workflows, operations, and patient-facing tools. Providers, payers, and pharmaceutical companies are under growing pressure from regulators and boards to demonstrate that AI is being implemented responsibly, and governance is increasingly what determines whether adoption accelerates or stalls.
This presentation will outline:
- How organizations are structuring AI governance in practice, including board and executive oversight, accountability for AI decisions, and the policies and procedures that demonstrate responsible use across the AI lifecycle
- How to navigate the evolving regulatory landscape, including emerging federal and state AI requirements, and what they mean for organizations deploying AI in clinical and women's health settings
- How provenance, documentation, and risk assessment are being operationalized, including how to evaluate vendor AI tools, manage third-party risk, and know where the greatest legal and reputational exposure sits today
