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The literature-review database. Every paper Bob has reviewed (he has read many more), with a short summary, key findings, and tags. Browse, filter, search.

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  • Interface Support for Evaluating Disability Bias in AI-Generated Images

    Kelly Avery Mack, Lucy Jiang, Lotus Zhang, Leah Findlater · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

    Mack and colleagues investigate whether interface-level interventions can help users of generative text-to-image (T2I) tools recognise and avoid disability stereotypes in AI-generated images. The authors frame the work around a gap in AI safety: while model-side debiasing is an…

    AI bias · generative AI · text-to-image · disability representation · disability stereotypes

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