In this episode, we explore one of the most overlooked but rapidly escalating developments in artificial intelligence: AI agents regulating other AI agents. Through real-world examples, emergent behaviors like tacit collusion, and findings from simulation research, we examine the future of AI governance—and what it means for trust, transparency, and systemic control.

Technical Takeaways:

• Game-theoretic patterns in agentic systems

• Dynamic pricing models and policy learners

• AI-driven regulatory ecosystems in production

• The role of trust and incentives in multi-agent frameworks

• LLM behavior in regulatory-replicating environments

References:

1. [2403.09510] Trust AI Regulation? Discerning users are vital to build trust and effective AI regulation

2. [2504.08640] Do LLMs trust AI regulation? Emerging behaviour of game-theoretic LLM agents