Does artificial intelligence speak our language?: A gadamerian assessment of generative language models (Record no. 528543)

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Personal name Pinell, Phillip
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Title Does artificial intelligence speak our language?: A gadamerian assessment of generative language models
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Place of publication, distribution, etc Political Research Quarterly
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Extent 77(3), Sep, 2024: p.713-728
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Summary, etc The language argument is a classic argument for human distinctiveness that, for millenia, has been used to distinguish humans from non-human animals. Generative language models (GLMs) pose a challenge to traditional language-based models of human distinctiveness precisely because they can communicate and respond in a manner resembling humanity’s linguistic capabilities. This article asks: have GLMs acquired natural language? Employing Gadamer’s theory of language, I argue that they have not. While GLMs can reliably generate linguistic content that can be interpreted as “texts,” they lack the linguistically mediated reality that language provides. Missing from these models are four key features of a linguistic construction of reality: groundedness to the world, understanding, community, and tradition. I conclude with skepticism that GLMs can ever achieve natural language because they lack these characteristics in their linguistic development.- Reproduced

https://journals.sagepub.com/doi/full/10.1177/10659129241243038
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Topical term or geographic name as entry element Generative language models, Gadamer, Artificial intelligence, Language, Democratic theory.
9 (RLIN) 49468
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Main entry heading Political Research Quarterly
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Item type Articles
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Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent location Current location Date acquired Serial Enumeration / chronology Barcode Date last seen Koha item type
          Indian Institute of Public Administration Indian Institute of Public Administration 2024-12-11 77(3), Sep, 2024: p.713-728 AR133936 2024-12-11 Articles

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