This podcast provides a practical examination of legal accountability for healthcare professionals using artificial intelligence in clinical settings. It highlights how medical liability currently remains with clinicians and institutions, even though legal and regulatory frameworks are still catching up to the rapid deployment of these tools. Through various clinical scenarios, the text emphasizes that independent judgment and thorough documentation are essential protections against malpractice risks. The material also identifies institutional responsibilities, such as validating algorithms and supporting staff, as critical components of safe adoption. Ultimately, the overview serves as an educational guide for navigating the evolving risks associated with AI-ass ...