aiqbench analysis
This study investigates how large language models interpret social authority cues in multi-party disputes, revealing that identical evidence yields divergent judgments depending on which party holds the authority signal. The findings demonstrate that AI systems do not apply fixed weights to status indicators but instead exhibit complex interactions between occupational labels and documentary proof that can even trigger refusal states. This research is critical for understanding bias mitigation in automated mediation and resource allocation systems where model behavior must remain consistent regardless of user identity.
The Authority Expectancy Effect in Multi-Party Conflict
arXiv:2608.08026v2 Announce Type: replace Abstract: In multi-party competitive settings, across experiments on resource allocation, fault attribution, and dispute mediation, we test whether social authority (SA) cues such as occupational status and institutional documentation behave as if scalar weights were added to one side of a judgment. We reject this scalar-weight null on both of its predictions: cue effects are not independent in allocation decisions, where the same pair of cues interacts in opposite directions across models, and evidentiary cues do not exert a fixed directional influence in multi-turn disputes, where identical documentation draws protection to one party or extends it to both depending on which party holds it. The cues also govern whether a judgment is issued at all: removing an occupational label while retaining documentary evidence drives four of six models into refusal, yet the same label sharply reduces refusal when documentation is present, so the gate is subject to the same interaction as the judgment. We formalize this pattern as the Authority Expectancy Effect (AEE), comprising evidential reinterpretation, whereby identical content yields different judgments depending on which party bears the SA signal, and \textit{direction sensitivity}, whereby the same evidentiary cue favours different parties, or one party versus both, depending on the holder's authority position.
Abstract:In multi-party competitive settings, across experiments on resource allocation, fault attribution, and dispute mediation, we test whether social authority (SA) cues such as occupational status and institutional documentation behave as if scalar weights were added to one side of a judgment. We reject this scalar-weight null on both of its predictions: cue effects are not independent in allocation decisions, where the same pair of cues interacts in opposite directions across models, and evidentiary cues do not exert a fixed directional influence in multi-turn disputes, where identical documentation draws protection to one party or extends it to both depending on which party holds it. The cues also govern whether a judgment is issued at all: removing an occupational label while retaining documentary evidence drives four of six models into refusal, yet the same label sharply reduces refusal when documentation is present, so the gate is subject to the same interaction as the judgment. We formalize this pattern as the Authority Expectancy Effect (AEE), comprising evidential reinterpretation, whereby identical content yields different judgments depending on which party bears the SA signal, and \textit{direction sensitivity}, whereby the same evidentiary cue favours different parties, or one party versus both, depending on the holder's authority position.
Artificial Intelligence (cs.AI)
arXiv:2608.08026 [cs.AI]
(or arXiv:2608.08026v2 [cs.AI] for this version)
https://doi.org/10.48550/arXiv.2608.08026 Focus to learn more arXiv-issued DOI via DataCite
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Full text under the publisher's open licence · 293 words
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