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Responsible AI in NLP: GUS-Net Span-Level Bias Detection Dataset and Benchmark for Generalizations, Unfairness, and Stereotypes

2025-10-15

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<title>Abstract</title> <p>Representational harms in language technologies often occur in short spans within otherwise neutral text, where phrases may simultaneously convey generalizations, unfairness, or stereotypes. Framing bias detection as sentence-level classification obscures which words carry bias and what type is present, limiting both auditability and targeted mitigation. We introduce the GUS-Net Framewo...

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Literature Corpus work
86195740-1e16-540e-9feb-4d221115e8ab
DOI
10.21203/rs.3.rs-7623811/v1
Open publication

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Responsible AI in NLP: GUS-Net Span-Level Bias Detection Dataset and Benchmark for Generalizations, Unfairness, and StereotypesDOI 10.21203/rs.3.rs-7623811/v1
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