Agentic AI systems can think and act on their own, creating a huge gap between their capabilities and our outdated laws. As these autonomous agents begin to manage everything from financial portfolios to city infrastructure, we are facing unprecedented legal and ethical questions about accountability and control. In this episode, expert Ran Chen breaks down the core challenges of 'regulatory latency'. We explore what happens when an AI's autonomous decision violates the law or causes harm. We discuss the complexities of governing systems that operate across global jurisdictions in the blink of an eye. Ran Chen introduces forward-thinking solutions, moving beyond slow, traditional lawmaking to build a safer future for AI. Here's a glimpse of what we cover: - Why are traditional legal frameworks fundamentally unprepared for agentic AI? - When an autonomous AI causes a financial crash, who goes to jail? - What is a 'regulatory sandbox' and how can it help us innovate safely? - How can we enforce our laws when an AI operates across multiple countries at once? - Is it possible to program a moral compass directly into an AI? - What happens when an AI's emergent, self-taught strategy is harmful? - How do we prevent agentic AI from becoming a tool for undetectable manipulation? - Can we make an AI's decisions transparent enough to be audited by regulators? Follow my YouTube: https://www.youtube.com/@chenran818 or listen to my music on Apple music, Spotify or other platforms: https://ffm.bio/chenran818