Beyond Third-Person Audits: Situated Interaction Auditing for User-Centered LLM Bias Research
Research on bias in large language models (LLMs) has predominantly focused on third-person audits, which study how models represent or evaluate demographic groups as external subjects. However, this paradigm overlooks a structural blind spot because the user is absent from the audit. In practice, LLMs are used in open-ended, personal interactions, during which the model implicitly represents the user and adjusts its responses accordingly. When identical requests yield different responses depending on who is asking, bias manifests not in how the model describes others but in how it treats its interlocutor. We propose Situated Interaction Auditing (SIA), a user-centered framework for studyi...
| Authors | Andrés Abeliuk, Cinthia Sanchez Macias, Valentina Alarcón et al. |
|---|---|
| Primary category | cs.CY |
| Published | 10 June 2026 |
| Last updated at source | 10 June 2026 |
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