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Why can’t artificial language contain the truth? A focus on Foucault’s and Heidegger’s discussions

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  • Bun-Sun Kim

    (Department of Philosophy)

  • Hongjoon Jo

    (Department of Philosophy and Biomedical Ethics)

Abstract

This article seeks to argue that although AI language has developed to the level where it can answer human questions, AI language cannot yet contain the truth. In the AI era, humans who speak their minds will no longer express their thoughts directly in words and will depend more on AI’s artificial language. However, it is only a question for now whether AI will be able to substitute for human speech and whether such a fact will contribute to the expansion of human thinking and the state of being. Accordingly, in this paper, we try to identify the limitations of artificial intelligence language by precisely clarifying the meaning of human language and discourse. Foucault and Heidegger’s discussion of discourse deals with issues of language, subject, existence, and authentic discourse. We use their discussions as a tool to illuminate our own perspectives. Therefore, we will re-analyze the language produced in the AI environment in relation to the issue of truth.

Suggested Citation

  • Bun-Sun Kim & Hongjoon Jo, 2024. "Why can’t artificial language contain the truth? A focus on Foucault’s and Heidegger’s discussions," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-9, December.
    • Handle: RePEc:pal:palcom:v:11:y:2024:i:1:d:10.1057_s41599-024-03648-4
    DOI: 10.1057/s41599-024-03648-4
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    References listed on IDEAS

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    1. Abey Koshy, 2024. "Excavating sexual difference in language and thinking," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-11, December.
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