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Visual anthropomorphism shifts evaluations of gendered AI managers

This research examines whether competence cues can reduce gender bias in evaluations of AI managers and whether these effects depend on how the AI is represented. Across two preregistered experiments (N = 2505), each employing a 2 × 2 × 3 design manipulating AI gender, competence, and decision outco...

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Autori principali: Ruiqing Han, Hao Cui, Taha Yasseri
Natura: Artigo
Lingua:Inglês
Pubblicazione: Elsevier 2026-08-01
Serie:Computers in Human Behavior: Artificial Humans
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Accesso online:http://www.sciencedirect.com/science/article/pii/S2949882126000903
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