In this interactive roundtable, you will share and dissect real-world case studies of AI governance in action. By coming prepared with examples from your own organizations, we will engage in a dynamic discussion about the challenges and successes of implementing AI governance frameworks. Together, we will explore key themes such as decision-making structures, roles and responsibilities, and the practicalities of operationalizing governance models at scale.

·       Sharing and critiquing case studies of AI governance frameworks.

·       Discussing challenges and lessons learned from real-world implementations.

·       Identifying best practices for scaling and ensuring accountability across AI initiatives.

As energy systems digitise and GenAI adoption accelerates, critical infrastructure operators face new regulatory scrutiny, cyber threats, and resilience risks. At Centrica, building a Responsible AI Framework has been key to scaling innovation while safeguarding operations, customers, and society. Attend this talk to understand how Ronnie and his team are:

·       Embedding AI governance across GenAI, ML, and critical energy infrastructure systems

·       Aligning risk tiering with regulatory, cyber, and environmental resilience expectations

·       Translating responsible AI principles into action across complex, distributed operations