A close reading of 15 AI-generated stories finds that even when character counts are balanced, narrative roles, descriptions, and plot dynamics remain gender-stereotyped (e.g., every villain is male).
This type of bias can Daniel Raffini, Agnese Macori, Tiziana Catarci are with Sapienza Uni- versity of Rome, Italy: E-mail: {raffini, macori, catarci }@diag.uniroma1.it
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A Close Reading Approach to Gender Narrative Biases in AI-Generated Stories
A close reading of 15 AI-generated stories finds that even when character counts are balanced, narrative roles, descriptions, and plot dynamics remain gender-stereotyped (e.g., every villain is male).