Rachel E. Giroux

Rachel Giroux

When the Algorithm Shares the Exam Room: The Complex Future of AI Liability in Health Care

As artificial intelligence becomes more entrenched in clinical decision-making, a new legal question arises: who is responsible when a machine gets it wrong? The White House’s America’s AI Action Plan signals a national effort to build trust in AI systems, but for health care providers, it also brings into focus a novel and thorny liability frontier.

Unlike traditional tools, AI does not simply support clinical decisions — it can actively shape them. This introduces a dynamic of shared decision-making, not just between patient and physician, but now with an algorithm in the mix. The question becomes: where does the physician’s legal exposure begin and end? Courts will likely be the primary arena for answering this, but professional associations are already signaling concern over how liability should be apportioned, aiming to protect clinicians who act reasonably in partnership with these tools.

The question of liability for AI in clinical care is not theoretical — it is here.  As AI systems increasingly introduce new complexities around accountability, courts and regulators are beginning to grapple with how to apportion responsibility when machines help shape outcomes. For physicians and health care entities, it’s worth watching closely.  Claims are coming and the legal frameworks are still catching up.

If you are facing legal liability related to use of AI, our experienced attorneys are here to help.

Rachel E. Giroux

Rachel Giroux

Rachel E. Giroux (formerly Brown) is a trial attorney and associate at Waranch & Brown. Ms. Giroux is gaining considerable experience defending medical malpractice cases, as well as representing health care providers in professional licensing matters.