Gender biases in large language models

dc.contributor.author	Villarroya Planas, Ana
dc.contributor.author	Boté-Vericad, Juan-José
dc.contributor.author	Fedele, Maddalena
dc.contributor.author	Vállez, Mari, 1968-
dc.date.accessioned	2026-01-21T10:48:33Z
dc.date.available	2026-01-21T10:48:33Z
dc.date.issued	2026-01-08
dc.description.abstract	This resource examines gender bias in large language models and how AI systems can reproduce and amplify existing social inequalities. It explores methods for detecting gender bias, the social implications of biased AI, and the role of open-source models in promoting transparency and accountability.
dc.description.sponsorship	2024-1-ES01-KA220-HED-000246558
dc.format.extent	2 p.
dc.format.mimetype	application/pdf
dc.identifier.citation	Villarroya, A., Boté-Vericad, J.-J., Fedele, M., & Vállez, M. (2026, January 8). Gender biases in large language models. Zenodo. https://doi.org/10.5281/zenodo.18188657
dc.identifier.doi	https://doi.org/10.5281/zenodo.18188657
dc.identifier.uri	https://hdl.handle.net/2445/225872
dc.language.iso	eng
dc.rights	cc by (c) Villarroya, A et al., 2026	ca
dc.rights.accessRights	info:eu-repo/semantics/openAccess
dc.rights.uri	http://creativecommons.org/licenses/by/4.0/
dc.subject.classification	Igualtat de gènere	cat
dc.subject.classification	Intel·ligència artificial	cat
dc.title	Gender biases in large language models
dc.type	info:eu-repo/semantics/other

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