AI Product Safety & Liability - The Emerging Regulatory Framework Explored

Introduction

AI-enabled products are moving rapidly into the market, but product safety regulation is struggling to keep pace, particularly where robotics and embodied AI create real-world physical harm risks.

This new virtual classroom seminar explores how the proposed product safety regulatory framework is expected to apply to AI-enabled products. It draws on the UK Government’s consultation on its new product safety framework (31 March 2026) and the UKJT’s draft Legal Statement on Liability for AI Harms (January 2026), alongside a high-level comparison of legal approaches in the UK, Europe and the US.

The session will help you understand how liability is likely to be allocated across supply chains and how regulatory expectations may interact with contractual protections when deploying or supplying AI systems. You will also examine how businesses can manage risk when contracting for AI and what happens where contractual safeguards are absent or insufficient.

Designed for those who advise businesses supplying or deploying AI-enabled products, whether directly to consumers or through B2B supply chains, this session will give you a practical understanding of emerging product safety obligations, supply chain accountability and evolving liability risks in AI systems.

What You Will Learn

The session will cover the following:

• The expanded scope of the proposed product safety framework, covering both consumer and business-to-business products
• The revised definition of a ‘safe product’, including cybersecurity risks and risks arising from AI and machine learning functionality
• Increased obligations on producers, upstream suppliers, and online marketplaces, including the requirement to exercise ‘due care’ across the supply chain
• The potential for liability to cascade through multiple actors in complex supply chains
• How English law (primarily negligence) applies to physical and economic harm caused by AI systems, including duty of care, standard of care and causation
• The specific risks posed by AI-enabled products in real-world deployment
• The applicable regulatory landscape governing AI-enabled products
• Allocation of liability within AI supply chains and the importance of careful contractual drafting
• Key contractual considerations and protections in both B2C and B2B arrangements
• A comparative overview of EU and US regulatory approaches to AI product safety and liability

Recording of live sessions: Soon after the Learn Live session has taken place you will be able to go back and access the recording - should you wish to revisit the material discussed.