1 citations · 1 across the 6 of their papers we have counts for
9 papers
When AI Finds Hidden Messages, Does It Report?
William Guey, Rashik Jahangir, Pierrick Bougault +3
When an assistant encounters a message for another AI, does it tell its user? Four fixed model-provider deployments perform simulated source tasks in 1,280 ordinary-note and 128 en…
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…
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…
World Artificial Intelligence Cooperation Organization (WAICO): Mapping an Emerging Institution in the Global AI Governance Regime Complex
William Guey, Pierrick Bougault, Wei Zhang +2
Who sets the rules for artificial intelligence, and on what terms, has become a defining question of global governance. For several years that contest ran through principles and et…
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…
Self-Preference Is Weak or Absent in Verifiable Instruction-Following Revision: A Four-Model Test Under Genuine Authorship
William Guey, Pierrick Bougault
Large language models (LLMs) increasingly review and revise text, including their own. A documented self-preference bias (models favoring their own generations when acting as judge…
Auditing demographic bias in AI-based emergency police dispatch: a cross-lingual evaluation of eleven large language models
William Guey, Wei Zhang, Pierrick Bougault +4
Large language models (LLMs) are rapidly being integrated into high-stakes public safety systems, including emergency call triage and dispatch decision support, yet their demograph…
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…
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…