Neutrality Bites: Gender Representation in AI-Generated Animal Stories
Gender bias in AI-generated stories is a well-documented problem. While much attention has been paid to reducing or mitigating this bias, it is not always clear whether interventions produce genuinely fairer results. To investigate this issue, we examine how large language models (LLMs) handle gender assignment in a narrative context that is popular, highly ambiguous, and also known to closely reproduce human stereotypes: stories about talking animals. We prompt six leading LLMs to complete an E
Record details
Published: 6 June 2026
Source: arXiv
Category: Research
Topics: Bias & fairness · Finance, VC & PE
Retrieved: 14 July 2026
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ethics.ai (6 June 2026), “Neutrality Bites: Gender Representation in AI-Generated Animal Stories,” evidence record 1340, https://ethics.ai/record/1340 (originally published by arXiv).
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