144787 20260112133333.0 doi 10.22355/exaequo.2024.49.08 sideral 139577 ART-2024-139577 eng Ariño-Bizarro, Andrea Universidad de Zaragoza Implicit Sexist Bias in Language and its Impact on Artificial Intelligence 2024 Access copy available to the general public Unrestricted 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. info:eu-repo/grantAgreement/ES/DGA/MultiMetAr LMP143-21 info:eu-repo/grantAgreement/ES/DGA/Psylex H11-17R info:eu-repo/grantAgreement/ES/MICINN-AEI/PID2021-123302NB-I00 info:eu-repo/semantics/openAccess by-nc-nd https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es 0.156 2024 Gender Studies 2024 Q3 0.5 2024 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Ibarretxe-Antuñano, Iraide Universidad de Zaragoza (orcid)0000-0002-0241-9265 3013 575 Universidad de Zaragoza Dpto. Lingüíst.y Liter.Hispán. Área Lingüística General 3013 567 Universidad de Zaragoza Dpto. Lingüíst.y Liter.Hispán. Área Lengua Española 49 (2024), 103-121 Ex Aequo 2184-0385 1328870 http://zaguan.unizar.es/record/144787/files/texto_completo.pdf Versión publicada 1215950 http://zaguan.unizar.es/record/144787/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:144787 articulos driver 2026-01-12-13:12:31 ARTICLE