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cs.CL2026

How AI Assistants Respond to Repeated Abuse

William Guey, Wei Zhang, Pierrick Bougault +4

AI assistants are expected to remain useful during difficult interactions, but little is known about how repeated verbal abuse changes their engagement with an otherwise benign tas…

cs.CL2026

Bias Audits Detect Bias but Disagree on Ranking: Evidence from Ten Instruments and Ten Frontier Models

William Guey, Pierrick Bougault, Wei Zhang +2

Emerging AI regulation mandates bias audits of high-risk systems, and audit scores are beginning to be used to rank models. Both uses assume different audit tools measure the same…

cs.CL2026

Same question, different history: language, national identity, and credit in large language models

William Guey, Pierrick Bougault, Wei Zhang +2

Who invented the radio, Russia's Alexander Popov or Italy's Guglielmo Marconi? Was the telephone the achievement of Bell in the United States or Meucci in Italy? Does printing belo…

cs.CL2026

BiasLab: A Multilingual Dual-Framing Framework for LLM Bias Measurement, Applied to Workplace and HR Contexts

William Guey, Wei Zhang, Pei-Luen Patrick Rau +4

Background: Large language models (LLMs) harbor systematic biases that are particularly consequential in workplace and HR contexts, where their outputs increasingly influence hirin…

cs.CL20251 cited

Mapping Geopolitical Bias in 11 Large Language Models: A Bilingual, Dual-Framing Analysis of U.S.-China Tensions

William Guey, Wei Zhang, Pierrick Bougault +2

Large language models are how hundreds of millions of people now encounter contested political questions, raising a subtle measurement problem: a model that simply agrees with what…