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DisaBench: A Participatory Evaluation Framework for Disability Harms in Language Models

cs.AI updates on arXiv.org·
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DisaBench introduces a new framework to evaluate disability-related harms in language models, addressing gaps in existing safety benchmarks. The initiative aims to enhance understanding and mitigation of subtle harms through a participatory approach involving people with disabilities and experts.

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DisaBenchHugging Facelanguage modelsred teaming

Originally reported by cs.AI updates on arXiv.org. Read the full article ↗

DisaBench: A Participatory Evaluation Framework for Disability Harms in Language Models | AI Crypto Daily Wire