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Phys.org — Technology · November 4, 2026 · On the brief until November 18, 2026

Leading AI models are biased against certain accents when scoring interviews, presentations and tests

LinguisticsHuman ResourcesCommunications
THE AI ANGLE
Penalizing job applicants and speakers based on regional accents

Researchers found leading audio AI models give lower scores to speakers with Chinese and Nigerian accents. Even with identical text and accurate transcription, the tools rated American and British accents higher on delivery and content. This challenges hiring teams, speech instructors, and communicators who rely on automated scoring.

Summary written by AI Business Lens with an AI model from the article at techxplore.com. It is not the article, and the publisher has not reviewed it. For publishers.

THE TEACHING ANGLE
AI systems transcribed non-Western accents accurately yet penalized those speakers and claimed they were difficult to understand.

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