Linking reasoning behaviours to fairness outcomes across diverse tasks

Establish robust links between observable reasoning behaviours in large language models and fairness outcomes across diverse tasks.

Background

BIASTRACE is developed and validated primarily on the BBQ structured question-answering benchmark, with an initial demonstration on the COMPAS fairness task. Although the framework associates reasoning behaviours with biased outputs and provides some evidence of relevance to group-fairness measures, the paper does not establish that these relationships persist across a broad range of tasks. Determining whether reasoning-level signals reliably predict or explain fairness outcomes in diverse application settings remains an unresolved challenge.