Autonomous AI- Part 2: Liability. With Majid Hassan

<p>As AI in healthcare becomes more autonomous, the question of <strong>who is legally responsible</strong> when it makes mistakes becomes urgent. In this episode, Annabelle speaks with Majid Hassan to explore the <strong>liability gap in the UK</strong> and the practical steps organizations and developers can take to protect themselves.</p><p>Topics covered include:</p><ul><li><p>The difference between <strong>clinical negligence</strong> and <strong>product liability</strong> </p></li><li><p>Why <strong>fully autonomous AI complicates accountability</strong>, especially when clinicians are taken out of the decision loop</p></li><li><p>The concept of a <strong>“liability gap”</strong> in UK law, and how proving defect or causation in AI is difficult</p></li><li><p><strong>Practical steps for healthcare organizations</strong>: vendor due diligence, compliance roadmaps, audit trails, staff training, and insurance coverage</p></li><li><p><strong>Steps for AI developers</strong> to demonstrate due diligence, risk management, and adequate insurance</p></li><li><p>Lessons from the EU’s revised product liability directive and its potential implications for UK law</p></li></ul><p><br></p>