As AI systems take on greater decision‑making responsibility, the question of accountability becomes more urgent - and more complex. This fishbowl session explores what happens when AI‑driven insights go wrong: who owns the consequences, how risk should be governed, and what structures organisations need to ensure transparency, oversight, and responsible use. Drawing on emerging frameworks, evolving regulatory expectations, and real‑world implementation challenges, the discussion invites participants to examine how legal, compliance, and business leaders can safeguard decision quality when human judgment and machine intelligence collide.