Regulatory Sandboxes in Practice: Turning AI Airlock Learnings Into Policy, Regulatory and Industry Strategy

Description: The AI Airlock Sandbox Pilot has provided a safe, collaborative environment for testing real-world AI medical products against regulatory challenges, enabling developers, regulators, and NHS partners to co-create solutions that inform future guidance and policy. This session will share key lessons from the Airlock, including how challenges around explainability, validation of LLMs, hallucinations, and post-market surveillance were explored in collaboration with industry.

Participants will benefit by gaining first-hand insights into how regulatory sandboxes operate in practice, what value they deliver, and how both regulators and industry innovators have used the learnings to shape their strategies. For regulators, this means a clearer understanding of how sandbox outcomes can inform policy and guidance. For industry, it highlights how engagement in sandbox environments can accelerate development and strengthen evidence strategy and regulatory understanding.

By the end of the session, attendees will not only understand the outcomes of the AI Airlock but also how to apply these lessons to their own work - whether by designing cross-sector collaborations that accelerate safe, effective AI innovation, adapting product development plans, or informing regulatory decision-making.