AI is rapidly evolving from basic decision-support and triage tools to systems capable of synthesising complex clinical, imaging and genomic data to recommend personalised care pathways. This session examines how AI may shift from acting as a guardrail to informing and potentially driving prescriptions in clinical practice, and explores the implications for regulation, liability and professional accountability, including how clinicians, health systems and technology companies can share responsibility for decisions made with machines in the loop.