Sora-generated videos associate stereotyped occupations, behaviors, and appearances with specific genders, based on frequency counts from 120 clips.
First, the analysis is restricted to a single model, Sora, which limits the ability to draw broader conclusions about text-to-video generation models
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Gender Bias in Text-to-Video Generation Models: A case study of Sora
Sora-generated videos associate stereotyped occupations, behaviors, and appearances with specific genders, based on frequency counts from 120 clips.