Rafaela Silva Figueiredo Camargo

WHEN FAIR AI BECOMES UNFAIR: A COUNTERFACTUAL AUDIT OF POSITIONAL BIAS IN LARGE LANGUAGE MODELS FOR HIRING DECISIONS

Findings indicate that state-of-the-art LLMs can achieve a high degree of demographic neutrality; fundamental artefacts such as positional bias can nonetheless produce severely discriminatory outcomes; and bias auditing must extend beyond demographic parity to interaction artefacts and ecosystem structure.