The hard problem isn’t building smarter agents; rather, if we are going to have hundreds, thousands, or maybe millions of agents in each enterprise, then it’s about building the social infrastructure for trust at-scale; it’s about making the entire agent ecosystem and the agents in them transparent, auditable, certifiable – and trusted.In this episode, John Miller and Eric Broda discuss the critical aspects of trust in AI systems, emphasizing the importance of governance, compliance, and certification. They explore how trust in AI agents should be built similarly to trust in human-operated systems, focusing on the need for transparency, accountability, and a robust governance framework. The conversation also delves into the challenges of granting autonomy to AI agents and the necessity of ensuring that these systems can be audited and trusted at scale.