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Superintelligent Agents Pose Catastrophic Risks: Can Scientist AI Offer a Safer Path?
By Yoshua Bengio et al.
This paper argues that building generalist AI agents poses catastrophic risks, from misuse by bad actors to a potential loss of human control. As an alternative, the authors propose “Scientist AI,” a non-agentic system designed to explain the world through theory generation and question-answering rather than acting in it. They suggest this path could accelerate scientific progress, including in AI safety, while avoiding the dangers of agency-driven AI.
Source:
https://arxiv.org/pdf/2502.15657
A podcast by BlueDot Impact.
Learn more on the AI Safety Fundamentals website.
View all episodes
By BlueDot ImpactBy Yoshua Bengio et al.
This paper argues that building generalist AI agents poses catastrophic risks, from misuse by bad actors to a potential loss of human control. As an alternative, the authors propose “Scientist AI,” a non-agentic system designed to explain the world through theory generation and question-answering rather than acting in it. They suggest this path could accelerate scientific progress, including in AI safety, while avoiding the dangers of agency-driven AI.
Source:
https://arxiv.org/pdf/2502.15657
A podcast by BlueDot Impact.
Learn more on the AI Safety Fundamentals website.