# metadata.dc.description.abstract[].value
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.

# metadata.dc.identifier.citation[].value
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