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Language agents reduce the risk of existential catastrophe

  • 19-08-2023
  • Open Forum
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Abstract

The article delves into the pressing issue of existential catastrophe due to the advent of Artificial General Intelligence (AGI). It focuses on the potential of language agents to mitigate this risk by addressing critical alignment challenges such as reward misspecification, goal misgeneralization, and uninterpretability. The authors argue that language agents, which function autonomously by pursuing goals specified in natural language, can substantially reduce the probability of misalignment catastrophe. The text provides a comprehensive overview of the architecture and capabilities of language agents, highlighting their ability to create complex plans and distinguish between means and ends. Additionally, it discusses the interpretability of language agents and their potential to be safer than traditional reinforcement learning systems. The authors conclude by emphasizing the importance of investing in language agent research to reduce the risk of a misalignment catastrophe.

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Title
Language agents reduce the risk of existential catastrophe
Authors
Simon Goldstein
Cameron Domenico Kirk-Giannini
Publication date
19-08-2023
Publisher
Springer London
Published in
AI & SOCIETY / Issue 2/2025
Print ISSN: 0951-5666
Electronic ISSN: 1435-5655
DOI
https://doi.org/10.1007/s00146-023-01748-4
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