Many organisations have published responsible AI principles, but fewer have converted them into repeatable decisions, controls and accountability. This panel will examine how leaders can create an enterprise AI governance operating model that enables innovation without losing oversight. Speakers will discuss ownership across the board, business, technology, legal, risk and security functions; the controls required across the AI lifecycle; and the evidence organisations need to demonstrate that governance is working.

AI governance is becoming more complex as organisations adopt generative AI, external models and autonomous agents capable of taking action across enterprise systems. Traditional controls designed for static software or human users may not provide sufficient visibility, authority or assurance. This panel will explore how organisations can govern non-human identities, model supply chains and agent-to-agent activity while retaining security, resilience and meaningful human control.