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Imagining the thinking machine: technological myths and the rise of Artificial Intelligence
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Abstract:
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 Artificial Intelligence 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; (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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Keyword:
Department of Geography
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URL: https://eprints.bbk.ac.uk/id/eprint/18830/ https://eprints.bbk.ac.uk/id/eprint/18830/1/2017-Natale%20Ballatore-Imagining%20the%20Thinking%20Machine.pdf https://doi.org/10.1177/1354856517715164
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New York Yankees and Hollywood Anglos: the persistence of anglo-conformity in the American motion picture industry
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A Structural-Lexical Measure of Semantic Similarity for Geo-Knowledge Graphs
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In: Ballatore, Andrea; Bertolotto, Michela; & Wilson, David C. (2015). A Structural-Lexical Measure of Semantic Similarity for Geo-Knowledge Graphs. ISPRS International Journal of Geo-Information, 4(2). UC Santa Barbara: Retrieved from: http://www.escholarship.org/uc/item/9zx1b95k (2015)
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An evaluative baseline for geo-semantic relatedness and similarity
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An evaluative baseline for geo-semantic relatedness and similarity
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The semantic similarity ensemble
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In: Journal of Spatial Information Science (2013)
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Computing the semantic similarity of geographic terms using volunteered lexical definitions
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The Similarity Jury: Combining expert judgements on geographic concepts
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