AI Stewardship: How Leaders Build Trustworthy Intelligence at Scale

As AI becomes embedded across large organizations, the hardest problems aren't technical -- they're organizational. Who owns the decisions AI systems inform? How do leaders build accountability structures around tools that move faster than policy? How do you maintain trust with employees, customers, and stakeholders when the underlying systems are opaque by default?

This session examines what responsible AI leadership actually looks like in practice: the governance structures, decision frameworks, and cultural conditions that determine whether AI scales well or just scales fast.