Doctors and NHS trusts can be held liable for patient harm caused by artificial intelligence tools, even when the AI made the mistake. The Medical Protection Society is urging ministers to overhaul the law to protect medical professionals.
Current legislation holds physicians responsible for errors in diagnosis and treatment—regardless of whether an AI system made the critical decision. Under existing negligence law, patients can sue doctors and the health service if they suffer harm or death from AI-driven mistakes.
The Medical Protection Society has warned the government that this legal framework creates liability exposure for clinicians using AI tools without clear safeguards or guidelines. The organization is calling for legislative reform to clarify responsibility between doctors, hospitals, AI developers, and manufacturers.
The issue becomes increasingly urgent as NHS adoption of AI diagnostic and treatment-recommendation systems accelerates. Questions remain about how to balance innovation in healthcare technology with legal protection for medical professionals who rely on these tools in good faith.
The warning comes as regulators worldwide grapple with AI governance in medicine. Clearer liability rules could either encourage or hinder AI adoption in the NHS depending on how reforms are structured.
TypeSafe AI, backed by $40 million in funding, has debuted Jev, an AI model that produces typed probabilistic decisions software can integrate directly into applications. Unlike conversational AI, Jev focuses on outputting structured decisions for machine consumption.
Meta CEO Mark Zuckerberg advocates for independent evaluators and advisers to ensure AI safety, rather than imposing development slowdowns across the industry.
A New York Times/Siena University poll shows 61% of voters oppose building data centers to power AI technology. The political divide on the issue remains balanced, giving neither party a clear advantage.
Treasury Secretary Scott Bessent told House lawmakers that AI developers should face full legal liability for their systems and that the US should prioritize open-source model development.