Negotiating becoming: a Nietzschean critique of large language models

Ethics and Information Technology 26 (3):1-12 (2024)
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Abstract

Large language models (LLMs) structure the linguistic landscape by reflecting certain beliefs and assumptions. In this paper, we address the risk of people unthinkingly adopting and being determined by the values or worldviews embedded in LLMs. We provide a Nietzschean critique of LLMs and, based on the concept of will to power, consider LLMs as will-to-power organisations. This allows us to conceptualise the interaction between self and LLMs as power struggles, which we understand as negotiation. Currently, the invisibility and incomprehensibility of LLMs make it difficult, if not impossible, to engage in such negotiations. This bears the danger that LLMs make reality increasingly homogeneous by recycling beliefs and creating feedback loops that ultimately freeze power struggles and thus consolidate the status quo. In view of this, LLMs constrain self-formation. Based on our critique, we provide some recommendations on how to develop interactions with LLMs that enable negotiations that allow for different ways of being.

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Bas de Boer
University of Twente

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References found in this work

Understanding from Machine Learning Models.Emily Sullivan - 2022 - British Journal for the Philosophy of Science 73 (1):109-133.
Participatory sense-making: An enactive approach to social cognition.Hanne De Jaegher & Ezequiel Di Paolo - 2007 - Phenomenology and the Cognitive Sciences 6 (4):485-507.
The Whiteness of AI.Stephen Cave & Kanta Dihal - 2020 - Philosophy and Technology 33 (4):685-703.

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