Summary
Offers ten principles for state healthcare-AI policy, including coordinated oversight, risk-based quality assurance, human-centered design, access and payment, transparency, privacy, bias mitigation, ethics, workforce education, and intellectual property. Recommends using existing authorities and aligning with federal and consensus frameworks.
Healthcare Implications
Gives state policymakers and healthcare stakeholders a nonbinding framework for evaluating legislation, procurement, and funding conditions. It supports meaningful human review for higher-risk clinical and adverse coverage decisions while distinguishing lower-risk uses. The principles are advocacy recommendations, not enacted state requirements.