AI governance is the set of policies, review processes, accountability structures, and monitoring practices used to manage artificial intelligence in healthcare. It covers model selection, validation, bias and equity review, privacy, cybersecurity, clinician oversight, vendor risk, and post-deployment performance. Healthcare organizations need AI governance because unsafe or poorly monitored tools can affect clinical decisions, patient trust, compliance, and operational reliability.