Artificial Intelligence and Human Enhancement: Can AI Technologies Make Us More (Artificially) Intelligent?
This paper discusses two opposing views about the relation between artificial intelligence (AI) and human intelligence: on the one hand, a worry that heavy reliance on AI technologies might make people less intelligent and, on the other, a hope that AI technologies might serve as a form of cognitive...
| Main Author: | |
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| Format: | Electronic Article |
| Language: | English |
| Check availability: | HBZ Gateway |
| Interlibrary Loan: | Interlibrary Loan for the Fachinformationsdienste (Specialized Information Services in Germany) |
| Published: |
2024
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| In: |
Cambridge quarterly of healthcare ethics
Year: 2024, Volume: 33, Issue: 1, Pages: 76-88 |
| Further subjects: | B
Human Enhancement
B human intelligence B intelligent behavior B Artificial Intelligence B the extended mind B cognitive enhancement B human downgrading |
| Online Access: |
Volltext (kostenfrei) Volltext (kostenfrei) |
| Summary: | This paper discusses two opposing views about the relation between artificial intelligence (AI) and human intelligence: on the one hand, a worry that heavy reliance on AI technologies might make people less intelligent and, on the other, a hope that AI technologies might serve as a form of cognitive enhancement. The worry relates to the notion that if we hand over too many intelligence-requiring tasks to AI technologies, we might end up with fewer opportunities to train our own intelligence. Concerning AI as a potential form of cognitive enhancement, the paper explores two possibilities: (1) AI as extending—and thereby enhancing—people’s minds, and (2) AI as enabling people to behave in artificially intelligent ways. That is, using AI technologies might enable people to behave as if they have been cognitively enhanced. The paper considers such enhancements both on the level of individuals and on the level of groups. |
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| ISSN: | 1469-2147 |
| Contains: | Enthalten in: Cambridge quarterly of healthcare ethics
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| Persistent identifiers: | DOI: 10.1017/S0963180123000464 |