The DOI matches its Crossref record; 62 of the 62 references it cites were found in a registry or an index.
Imagining the thinking machine: Technological myths and the rise of artificial intelligence
Open accessAbstract
This article discusses the role of technological myths in the development of artificial intelligence (AI) technologies from 1950s to the early 1970s. It shows how the rise of AI was accompanied by the construction of a powerful cultural myth: The creation of a thinking machine, which would be able to perfectly simulate the cognitive faculties of the human mind. Based on a content analysis of articles on AI published in two magazines, the Scientific American and the New Scientist, which were aimed at a broad readership of scientists, engineers and technologists, three dominant patterns in the construction of the AI myth are identified: (1) the recurrence of analogies and discursive shifts, by which ideas and concepts from other fields were employed to describe the functioning of AI technologies; (2) a rhetorical use of the future, imagining that present shortcomings and limitations will shortly be overcome and (3) the relevance of controversies around the claims of AI, which we argue should be considered as an integral part of the discourse surrounding the AI myth.
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Cited by
Zuiderwijk, A., Chen, Y.-C., & Salem, F. (2021) · Government Information Quarterly · doi:10.1016/j.giq.2021.101577 · Cited by 795
Deceitful Media: Artificial Intelligence and Social Life after the Turing Test
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Self-citationHarms from Increasingly Agentic Algorithmic Systems
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Artificial Intelligence in Cardiovascular Imaging: “Unexplainable” Legal and Ethical Challenges?
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Metadata
- Authors
- Natale, S., & Ballatore, A.
- Venue
- Convergence: The International Journal of Research into New Media Technologies
- Publisher
- SAGE Publications
- Published
- 2017-06-20
- Volume
- 26
- Issue
- 1
- Pages
- 3-18
- ISSN
- 1354-8565 (ISSN-L)
- 1748-7382
- OpenAlex
- W2623152824
- Cited by
- 264
- References
- 62
- FWCI
- 25.91
- Type
- journal article
- Language
- en
- Open access
- green
- Licence
- journals.sagepub.com/page/policies/text-and-data-mining-license (tdm)
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