AI at Scale: Balancing innovation, governance, and risk in large organizations

As AI reshapes industries, large organizations must scale innovation while upholding governance, security, and ethical responsibility. Deploying AI at scale isn’t just a technical challenge—it’s a strategic balancing act between agility and compliance, risk and reward. Andreas Bohman, CIO at the University of Washington, will discuss strategies to drive AI-powered innovation without compromising regulatory obligations, operational effectiveness, or public trust. He will share governance strategies that enable innovation rather than restrict it. He’ll also talk about addressing critical risks like bias, data security, and compliance while ensuring that the way you apply AI aligns with organizational goals. Drawing from real-world experience, Andreas will explore how to navigate stakeholder expectations, foster trust in AI-driven decisions, and build a culture that embraces responsible AI at scale. Whether you're a technology leader, policymaker, or practitioner, this session offers a candid look at the complexities of enterprise AI adoption—and how to get it right.