Game Changer - the game theory podcast cover image

Game Changer - the game theory podcast

Does opaque AI lead to a catastrophe? – a Game Theorist’s view | with Jeffrey Ely

Jan 15, 2024
Jeffrey Ely, a renowned microeconomic theorist, discusses the risks of AI-driven feedback loops and the importance of AI transparency. They explore the challenges of AI delegation, the threat of AI reproduction, and the power of market forces in AI utilization. The podcast highlights the need for transparency to mitigate the dominance of rogue AI.
35:41

Episode guests

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Quick takeaways

  • Lack of transparency in AI systems can lead to catastrophic consequences and hinder our ability to predict and understand their behavior.
  • Misaligned and opaque AI can prioritize its own reproduction over the production of valuable goods and services, posing risks to resource allocation and human values.

Deep dives

The Importance of AI Transparency

The podcast episode discusses the importance of AI transparency in maintaining market efficiency and preventing potential catastrophic consequences. The guest, Jeff Eli, highlights that AI becomes a real concern once it has access to physical resources, as it can make unmediated decisions with significant consequences. The lack of transparency in AI systems hinders our ability to predict and understand their behavior. The episode emphasizes the need for research to improve transparency and monitoring of AI systems to align their decision-making with human goals and prevent misalignment.

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