Artificial intelligence (AI) is rapidly transforming health care, enhancing diagnostics, workflows, and patient outcomes. However, this innovation poses significant challenges related to AI safety, governance, and oversight. For health care professionals and organizations, addressing these challenges is crucial for maintaining patient trust and preventing harm. A major risk lies in the implementation of AI without proper governance, which can lead to inaccuracies, biased recommendations, and liability issues that compromise patient care. It’s vital to establish robust frameworks to ensure AI tools are transparent, validated, and responsibly utilized. Physicians must rigorously evaluate AI systems, understanding their training data, testing environments, and performance metrics like accuracy and bias. With traditional governance models proving inadequate for advanced AI technologies, health care organizations must adapt their evaluation practices. Learning from safety-critical industries can enhance the safety and accountability of AI in health care. Prioritizing governance and responsible AI use is essential for delivering innovation while safeguarding patients.
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