Summary
AMA policy principles for the development, deployment, and use of augmented intelligence in health care. The principles address risk-based governance, transparency and documentation, developer disclosures, generative AI governance, physician liability, data privacy, cybersecurity, misinformation, and payer use of automated decision-making systems.
Healthcare Implications
Provides physician-facing expectations for responsible health AI governance across clinical, administrative, generative-AI, and payer contexts. Health systems and medical groups can use the principles to shape internal AI policies, procurement review, disclosure practices, clinician oversight, generative-AI use rules, and vendor evaluation; developers and payers should monitor them because they signal AMA advocacy priorities for transparency, validation, bias mitigation, liability allocation, privacy, cybersecurity, and automated coverage or claims decisions.