Fair on the Surface? Benchmarking Hidden-Output Fairness Gaps in LLM Recommenders

Chan Aristella Lu, Arya Fayyazi, Junhao Zhang +6

Fairness audits for LLM-based recommenders have largely focused on observable outputs, implicitly assuming that stable recommendations reflect stable internal processing. We challe…