Implicit Sexist Bias in Language and its Impact on Artificial Intelligence

49 | 2024

Andrea Ariño-Bizarro*, Iraide Ibarretxe-Antuñano**

* Departamento de Lingüística y Literaturas Hispánicas, Universidad de Zaragoza, Huesca, España
https://orcid.org/0000-0003-3126-7894
** Departamento de Lingüística y Literaturas Hispánicas, Universidad de Zaragoza, Zaragoza, España
https://orcid.org/0000-0002-0241-9265

In this article we discuss the possible sexist biases that arise in the use of gendermarked and unmarked linguistic structures in Spanish and their impact on the treatment of language in artificial intelligence. The first part analyses sexist biases that arise in explicit gender-marked linguistic structures and those triggered by pragmatic inferencing in unmarked structures. The second part explores the consequences that these biases may bring into the world of AI, especially in relation to tasks such as programming virtual assistants, machine translation, and sentiment analysis.

Keywords

sexist communication, gender-unmarked structures, intentionality, artificial intelligence, Spanish

DOI: https://doi.org/10.22355/exaequo.2024.49.08
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Direitos de autor: Creative Commons – CC BY NC

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