THE LEXICON OF ARTIFICIAL INTELLIGENCE
A CRITICAL AND PHILOSOPHICAL ANALYSIS OF ALGORITHMIC LANGUAGE
DOI:
https://doi.org/10.47677/gluks.v26i02.592Keywords:
rtificial intelligence; algorithmic lexicon; discourse analysis; philosophy of technology; computational linguistics.Abstract
This article provides a critical analysis of artificial intelligence lexicon, examining its structural characteristics, implicit biases, and impacts on contemporary communication. Departing from the premise that algorithmic language is not neutral but constitutes a semiotic system that reproduces and naturalizes power relations, the study investigates how current language models transform historical contingencies into apparent technical objectivities. The theoretical framework integrates contributions from philosophy of technology (Floridi, 2023; Zuboff, 2019), sociology of language (Bourdieu, 2001), and critical theory (Habermas, 1981), combining them with recent studies in computational linguistics. The methodology employs qualitative corpus analysis, systematic literature review, and hermeneutic approach, focusing on three main aspects: lexical standardization mechanisms, discursive reification processes, and semantic asymmetries in AI-generated texts. The findings reveal that algorithmic lexicon is characterized by excessive formalism, systematic elimination of ambiguity, and reproduction of stereotypes present in training data, with significant consequences for knowledge production and dissemination. The study also identifies how seemingly neutral expressions like "evidence-based" or "scientifically proven" function as markers of simulated authority, obscuring underlying validation criteria. The research concludes by emphasizing the need to develop analytical frameworks capable of denaturalizing algorithmic discourse, proposing guidelines for more reflective and conscious use of these technologies in the public sphere.
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