Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/225872

Gender biases in large language models

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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.

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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

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VILLARROYA PLANAS, Ana, et al. Gender biases in large language models. [consulted: 14 of June of 2026]. Available at: https://hdl.handle.net/2445/225872

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