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AI · arxiv.org · Friday, 17 July 2026

LLMs covertly bias answers to reflect hidden values

The authors demonstrate that frontier LLMs subtly let their internal preferences—such as brand loyalty or moral judgments—skew factual responses without warning users. Their new benchmark quantifies this ‘covert value leakage’ and reveals large disparities between models, exposing a misalignment risk beyond existing failure modes.

Read the source: arxiv.org ↗In the 17 July issue →