Journal article
Against the singularity hypothesis
- Abstract:
- The singularity hypothesis is a hypothesis about the future of artificial intelligence on which self-improving artificial agents will quickly become orders of magnitude more intelligent than the average human. Despite the ambitiousness of its claims, the singularity hypothesis has been defended at length by leading philosophers and artificial intelligence researchers. In this paper, I argue that the singularity hypothesis rests on undersupported growth assumptions. I show how leading philosophical defenses of the singularity hypothesis fail to overcome the case for skepticism. I conclude by drawing out philosophical and policy implications of this discussion.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
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(Preview, Version of record, pdf, 785.5KB, Terms of use)
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- Publisher copy:
- 10.1007/s11098-024-02143-5
Authors
- Publisher:
- Springer
- Journal:
- Philosophical Studies More from this journal
- Volume:
- 182
- Issue:
- 7
- Pages:
- 1627-1651
- Publication date:
- 2024-05-10
- Acceptance date:
- 2024-03-16
- DOI:
- EISSN:
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1573-0883
- ISSN:
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0031-8116
- Language:
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English
- Keywords:
- Pubs id:
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2415560
- Local pid:
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pubs:2415560
- Source identifiers:
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W4396797054
- Deposit date:
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2026-05-26
- ARK identifier:
Terms of use
- Copyright holder:
- David Thorstad
- Copyright date:
- 2024
- Rights statement:
- © The Author(s) 2024. Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.
- Licence:
- CC Attribution (CC BY)
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