AI is widely used in healthcare, raising new liability and operational risks. Current malpractice policies may not cover AI-related errors, creating ambiguity over responsibility among providers, hospitals, and vendors. Insurers are adapting with hybrid policies and stricter underwriting. Managing AI risks requires clear vendor contracts, staff training, governance committees, and robust data security measures to ensure accountability and protect against clinical, legal, and reputational harm.
