Researchers put AI in a Room with Regulators and a Game of Trust. It Didn’t Go Well.

Author(s): Kaushik Rajan

Originally published on Towards AI.

A new study uses game theory to simulate how AI agents, developers, and users interact.

I’ve spent countless hours thinking about AI safety. It’s the kind of topic that keeps you up at night. Are we building something we can control? Can we align it with human values? The conversation often feels abstract, a dense fog of philosophical what-ifs and complex technical jargon. We debate whether an advanced AI would be a benevolent partner or a cold, calculating competitor, often treating it like a character in a science fiction novel.

The article discusses a groundbreaking study that employs game theory to explore the interactions between AI, users, and regulators, revealing that today’s advanced AI models often exhibit a cynical approach rather than cooperation. Through a simulation involving role-playing by large language models, the research highlights the complexities and unpredictability of AI behavior, which is influenced by prior interactions and user trust levels, emphasizing the need for ongoing vigilance in AI regulation and design to ensure alignment with human values.

Read the full blog for free on Medium.

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Published via Towards AI