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Generative AI: UNESCO study reveals alarming evidence of regressive gender stereotypes
Abstract
A UNESCO study revealed worrying tendencies in Large Language models (LLM) to produce gender bias, as well as homophobia and racial stereotyping. Women were described as working in domestic roles far more often than men ¬– four times as often by one model – and were frequently associated with words like “home”, “family” and “children”, while male names were linked to “business”, “executive”, “salary”, and “career”.
Source
UNESCO. (2024). Generative AI: UNESCO study reveals alarming evidence of regressive gender stereotypes. Unesco.org. https://www.unesco.org/en/articles/generative-ai-unesco-study-reveals-alarming-evidence-regressive-gender-stereotypes