Trust, transparency, and accountability are now essential requirements for deploying AI in healthcare. To meet this need, the Coalition for Health AI (CHAI) has launched a certification program for organizations that provide independent assurance of healthcare AI systems. This program establishes a new quality standard for evaluating model performance, governance, and safety, and enables health systems and regulators to rely on a trusted ecosystem of certified assurance resources.
In this keynote, Brian Anderson, CEO of CHAI, and David Talby, CEO of Pacific AI, will discuss how this certification framework works, why it matters, and what it signals for the future of trustworthy health AI. Pacific AI will then introduce its new capabilities as an end-to-end governance platform built specifically for healthcare. This includes:
- Risk management: central inventory of AI projects, comprehensive governance policies, and model cards published directly to CHAI’s model registry.
- Model testing: automated evaluation pipelines integrated with CI/CD, including MedHELM accuracy benchmarks, medical red-teaming for safety, and robustness testing.
- Model monitoring: continuous oversight of accuracy, bias, and safety in deployed AI systems.
Join us to hear how CHAI and Pacific AI are working together to raise the bar for trustworthy AI — and to see how certification and governance tools are converging to make safe, effective, and compliant AI a reality in healthcare.