Ep72: Can We Trust AI to Regulate AI?
Автор: Machine Learning Made Simple
Загружено: 2025-04-22
Просмотров: 3183
Описание:
In this episode, we dive into a rising phenomenon: autonomous AI agents not only shaping digital platforms, but also regulating each other in real-time. Drawing from real deployments and game-theoretic models, we explore how tacit collusion emerges among AI systems, why human oversight can't scale, and what happens when trust breaks down. This isn't science fiction—it's infrastructure. And it's already happening.
Chapters:
00:00 – Intro: Can AI regulate AI?
01:55 – The rise of autonomous AI regulators
04:30 – Real-world deployments in governance
08:40 – Why agentic frameworks change the game
13:10 – Dynamic pricing and tacit collusion explained
18:05 – Behavioral AI: personalizing attention
22:50 – The illusion of choice and systemic manipulation
27:30 – Oversight agents and scalable validation
34:00 – Infrastructure control without human loop
39:45 – Regulatory AI: Simulation insights
43:20 – Trust, reputation, and the enforcement loop
47:10 – LLM agents in repeated games
51:00 – Cooperative equilibrium vs regulatory collapse
55:30 – Final thoughts: Why AI must regulate AI
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