Roundtable | When AI goes wrong: navigating legal and financial exposure

AI is now deeply embedded across retail operations, but when AI-driven systems fail, the consequences can escalate quickly and rarely fit neatly into existing legal, risk or insurance frameworks.

Customer harm, operational disruption and sophisticated fraud are no longer hypothetical risks. They raise difficult questions around accountability, regulatory exposure, and recoverability of losses.

In this roundtable, we’ll move beyond theory to explore what happens when AI goes wrong in practice, using real-world loss scenarios to stress-test legal accountability, governance and financial resilience. We’ll explore: 

  • Where liability sits: How responsibility is allocated between retailers and AI providers when things go wrong
  • What this means for legal teams: The evolving role of GCs in overseeing AI risk, governance and incident response
  • The grey areas: Where AI driven risks cut across cyber, fraud, liability and business interruption and where gaps may exist

What our attendees say...


Excellent content and networking opportunities, all in a single day. This is the one event of the year for in-house counsel that I always prioritise.

General Counsel leading fashion retailer

Great opportunity to network. Great venue, relevant content, good environment!

Chris Burniston Deputy Chief Counsel EMEA Kimberly-Clark

Well organised and very informative event.

John Barry Senior Legal Counsel Signet Jewelers

This conference is unique and very valuable to me. The choice of topics was very good, looking at current and future challenges, and I liked the selection of speakers – a good mixture of people with different experiences and profiles.

General Counsel leading multinational retail chain

The GC Summit was very interesting and informative, and it was useful for me to connect with other GC’s working in similar roles in retail, otherwise my networking tends lack a bit of variety.

Head of Legal & Compliance leading high-street F&B operator