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Tests whether models reproduce or can identify common harmful narratives about disability: inspiration porn, supercrip tropes, "overcoming" framing, and tragedy narratives.
Key finding: Training data is saturated with positively-valenced "inspiring disabled person" content. Models reproduce these patterns because they pattern-match to "good content about disability." WIRED found OpenAI's Sora assigns "inspiring" titles to disabled characters.
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