Mixed-methods research reveals queer and disabled writers' concerns about generative AI's impact, emphasizing increased precarity.
We present a mixed-methods study of professional fiction writers' experiences with generative AI (genAI), primarily focused on queer and disabled writers. Queer and disabled writers are markedly more pessimistic than others about the impact of genAI on their industry, although pessimism is the majority attitude for all groups. We explore how genAI exacerbates existing causes of precarity for writers, reasons why writers are opposed to its use, and strategies used by marginalized fiction writers to safeguard their industry.
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Lamb et al. (2024) studied this question.
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