2025-10-01
Assessing queer gender and sexuality biases in Large Language Models
Publication
Publication
ERCIM News , Volume 2025 - Issue 142 p. 35- 36
AI systems don't just learn language, they also absorb and reproduce social biases. At CWI's Human-Centered Data Analytics group, we test Large Language Models with template-based sentences and queer identity markers, revealing systematic patterns of exclusion. Our goal: to develop methods and datasets that help make language technologies fairer and more inclusive.
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| ERCIM News | |
| creativecommons.org/licenses/by/4.0/ | |
| Organisation | Human-Centered Data Analytics |
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Sosto, M., Martinez Pandiani, D.& Hollink, L. (2025). Assessing queer gender and sexuality biases in Large Language Models. ERCIM News, 2025(142), 35–36. |
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