Autonomous AI- Part 2: Liability. With Majid Hassan

Autonomous AI- Part 2: Liability. With Majid Hassan

From Digital Health Podcast- Royal Society of Medicine by RSM Digital Health Council

February 3, 2026 · 39 min

About this episode

This episode discusses the legal implications and liability issues surrounding autonomous AI in healthcare with guest Majid Hassan.

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

People in this episode

Host: Annabelle

Guest: Majid Hassan

Topics covered

  • AI in healthcare
  • liability in AI
  • clinical negligence
  • product liability
  • accountability
  • vendor due diligence
  • insurance coverage

Keywords

  • autonomous AI
  • liability gap
  • healthcare
  • clinical negligence
  • product liability
  • risk management
  • insurance
  • EU directive

Mentioned in this episode

Organizations: UK, EU

Books & works: Autonomous AI- Part 2: Liability

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