Key Highlights
- The American Medical Association adopted a policy framework assigning AI-related liability according to the control and responsibilities of developers, healthcare organizations, and physicians.
- AI vendors would be expected to carry adequate product liability insurance, disclose tool limitations, share performance data, and avoid contracts that unfairly shift liability to clinicians.
- The policy is not law and would require legislative action before its proposed protections and liability standards become legally enforceable.
AMA Sets Out Liability Framework for Clinical AI
The American Medical Association is seeking a clearer approach to liability when artificial intelligence contributes to harm in healthcare. The AMA’s Center for Digital Health and AI outlined its accountability principles in October 2026, and the framework was released on October 29, 2026. The association formally adopted the policy at its Interim Meeting in Orlando on November 10, 2026.
The framework’s central principle is that liability should follow whoever actually controls the relevant technology, decision, or process. It divides responsibilities among AI developers, healthcare organizations, and physicians based on their capabilities and duties. If a clinical error results from a defective AI product while a physician has exercised appropriate clinical judgment, responsibility for the harm would fall on the vendor or manufacturer.
AI Vendors Would Face New Accountability Duties
The AMA’s proposal is not limited to protecting physicians. It also calls for AI companies to assume specific responsibilities for the products they develop and sell. Under the framework, vendors should maintain adequate product liability insurance, disclose the limitations of their tools, and provide performance data that enables healthcare organizations and clinicians to evaluate how the systems work.
The policy also addresses contract terms between AI vendors and healthcare professionals. The AMA says vendors should not be permitted to use agreements that unfairly transfer liability to physicians. In addition, payers and hospitals should not penalize doctors who decline to use AI tools they consider uncertain or insufficiently reliable.
Patient Recourse Remains a Core Requirement
AMA President Willie Underwood III has emphasized that patients must retain avenues for recourse when clinical AI causes harm. He has linked accountability to public confidence, arguing that patients need to trust healthcare technologies for those tools to be used effectively.
The framework directs patients toward the parties that developed and deployed an AI system when the technology itself is responsible for a problem. That approach places vendor insurance and disclosure obligations alongside protections for physicians. It is intended to ensure that patients are not left without a clear path to seek compensation or accountability when a defective or poorly implemented system contributes to an adverse outcome.
Physicians Would Remain Central to Clinical Decisions
The AMA’s policy presents AI as a complement to physician-led care rather than a replacement for professional judgment. The association opposes granting licensure or certification to AI systems, maintaining that a licensed healthcare professional should remain at the center of the patient-care relationship.
Research cited by the AMA indicates that more than one-third of physicians view clear liability frameworks as crucial to building trust in AI and encouraging its adoption in clinical settings. For doctors, the proposed policy would preserve professional judgment as the decisive factor. Whether a physician follows an algorithm or overrides it, the legal assessment would focus on whether the physician’s clinical judgment was appropriate.
Why This Matters
Healthcare providers are increasingly being asked to use AI while legal responsibility for errors remains unsettled. The AMA’s framework attempts to separate failures caused by a technology product from decisions made by clinicians and organizations that deploy it. It also seeks to prevent contractual arrangements or workplace pressure from making physicians responsible for risks they do not control.
However, the AMA policy does not itself change the law. The association is lobbying for the proposed protections and liability standards, but legislators would need to enact legislation before the framework could carry legal force. Until then, responsibility for clinical AI-related harm will continue to depend on existing laws, contracts, and the facts of individual cases.
Frequently Asked Questions
What does the AMA’s clinical AI liability policy propose?
It proposes assigning responsibility according to the capabilities and responsibilities of AI developers, healthcare organizations, and physicians. When a defective AI product causes harm and the physician used appropriate clinical judgment, liability would fall on the vendor or manufacturer.
What obligations would AI vendors have?
Vendors would be expected to maintain adequate product liability insurance, disclose the limitations of their tools, share performance data, and avoid contract terms that unfairly shift liability to healthcare professionals.
Is the AMA framework currently law?
No. The AMA adopted the policy at its Interim Meeting in Orlando on November 10, 2026, but legislative action would be required before its proposed protections and liability rules become legally enforceable.
