Human-level artificial general intelligence and the possibility of a technological singularity
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Current narrow AI tools are skilled in a very specific task, where they can often perform at superhuman levels.
“A characteristic of the current (narrow) AI tools is that they are skilled in a very specific task, where they can often perform at superhuman levels, (e.g. Goertzel, 2007; Silver et al., 2017).”
From Human- versus Artificial Intelligence (2021) · cites this paper as Goertzel, 2007
Section 1, “Narrow AI versus AGI” (page unavailable), describes mainstream narrow AI as software for specific, narrowly constrained problems and gives examples of its limited ability to transfer skills. It does not say that these tools often perform at superhuman levels, so that part of the citing sentence is not supported by this source. (LLM, conf=0.86)
Experimental — accuracy not yet measuredIf AGI systems with general intelligence existed, they would probably have a completely different intelligence profile, including other cognitive qualities, than humans.
“So, if there would exist AI systems with general intelligence that can be used for a wide range of complex problems and objectives, those AGI machines would probably have a completely different intelligence profile, including other cognitive qualities, than humans have (Goertzel, 2007).”
From Human- versus Artificial Intelligence (2021) · cites this paper as Goertzel, 2007
In §1, “Narrow AI versus AGI” (page unavailable), Goertzel describes a possible AGI with very different strengths and weaknesses from humans that could still solve problems across domains. This supports the idea of a different intelligence profile, but he does not say such a profile would be probable for AGI systems generally or completely different from humans'. (LLM, conf=0.85)
Experimental — accuracy not yet measuredThe hypothetical point of time of matching human and artificial cognitive capacities (human-level AGI) will probably be hard to define in a meaningful way.
“Which implies that the hypothetical point of time of matching human- and artificial cognitive capacities, i.e. human-level AGI, will probably be hard to define in a meaningful way (Goertzel, 2007).”
From Human- versus Artificial Intelligence (2021) · cites this paper as Goertzel, 2007
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“…AGI So, if there would exist AI systems with general intelligence that can be used for a wide range of complex problems and objectives, those AGI machines would probably have a completely different intelligence pro fi le, including other cognitive qualities, than humans have (Goertzel, 2007).”
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- Authors
- Goertzel, B.
- Corresponding author
- Goertzel, Ben
- ORCID
- Goertzel, Ben
- Venue
- Artificial Intelligence
- Publisher
- Elsevier BV
- Published
- 2007-12
- Volume
- 171
- Issue
- 18
- Pages
- 1161-1173
- ISSN
- 0004-3702 (ISSN-L)
- OpenAlex
- W1967429720
- Cited by
- 83
- References
- 25
- Citations by year
- 2026: 5 · 2025: 7 · 2024: 7 · 2023: 7 · 2022: 11 · 2021: 6 · 2020: 10 · 2019: 3 · 2018: 7 · 2017: 8 · 2015: 1 · 2014: 3 · 2013: 1 · 2012: 5
- FWCI
- 0.79
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Artificial Intelligence (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Psychiatry, Mental Health, Neuroscience
- Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Keywords
- technological singularity, artificial general intelligence, human-level AI, Ray Kurzweil, self-improving AI, virtual worlds, future of AI
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