Ep72: Can We Trust AI to Regulate AI? cover art

Ep72: Can We Trust AI to Regulate AI?

Ep72: Can We Trust AI to Regulate AI?

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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
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