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On Formally Undecidable Traits of Intelligent Machines

arXiv 2402.09500 ↗First posted 14 Feb 2024cs.AI cs.LOcited by 0

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Abstract (arXiv)

Building on work by Alfonseca et al. (2021), we study the conditions necessary for it to be logically possible to prove that an arbitrary artificially intelligent machine will exhibit certain behavior. To do this, we develop a formalism like -- but mathematically distinct from -- the theory of formal languages and their properties. Our formalism affords a precise means for not only talking about the traits we desire of machines (such as them being intelligent, contained, moral, and so forth), but also for detailing the conditions necessary for it to be logically possible to decide whether a given arbitrary machine possesses such a trait or not. Contrary to Alfonseca et al.'s (2021) results, we find that Rice's theorem from computability theory cannot in general be used to determine whether an arbitrary machine possesses a given trait or not. Therefore, it is not necessarily the case that deciding whether an arbitrary machine is intelligent, contained, moral, and so forth is logically impossible.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 10 of its 64 references that are in the map. First posted on arXiv 14 Feb 2024.

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10 of 64 references.

References · 10

  1. 2023Sparks of Artificial General Intelligence: Early experiments with GPT-4cited by 2,579
  2. 2016Concrete Problems in AI Safetycited by 1,582
  3. 2023A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questionscited by 1,582
  4. 2021Unsolved Problems in ML Safetycited by 291
  5. 2022Compute Trends Across Three Eras of Machine Learningcited by 161
  6. 2024Thousands of AI Authors on the Future of AIcited by 48
  7. 2023New Era of Artificial Intelligence in Education: Towards a Sustainable Multifaceted Revolutioncited by 20
  8. 2016Superintelligence cannot be contained: Lessons from Computability Theorycited by 13
  9. 2023AI Risk Skepticism, A Comprehensive Surveycited by 6
  10. 2023Artificial Intelligence for Smart Transportationcited by 2

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