AI is increasingly embedded in critical decisions across industries, from risk and compliance to operations and customer engagement. As adoption accelerates, organizations are moving beyond principles of responsible AI and asking a more difficult question.What does effective AI governance actually look like in practice? How do you build governance that works across real systems, evolving regulation, emerging risk, and growing expectations around trust and accountability? Delivered by the Willis Research Network, this 60-minute live panel brings together perspectives from law, academia, human capital, and insurance to explore how AI governance is being developed and applied today — and where it is heading next.Why attend AI governance is becoming a core part of how organizations manage risk, not just a compliance requirement. In this session, you will gain insight into: <ul class="carina-rte-public-DraftStyleDefault-ul"><li>How AI governance is being applied in real organizational settings  </li><li>How trust and auditability are being defined and operationalized  </li><li>How regulation, litigation, and insurance are shaping AI risk expectations  </li><li>Why human impact is increasingly part of governance discussions  </li><li>Where current governance approaches are under pressure  </li></ul>

AI Governance in Practice: Trust, Accountability, and Human Impact