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Moreover, female-like cues mitigate these differences while male-like cues amplify them. This illustrates that gendered AI design can reinforce stereotypes in team contexts."},{"key":"10.1016\/j.copsyc.2026.102464_bib57","unstructured":"Across seven studies, this paper shows that AI decisions are viewed as less discriminatory than identical human decisions, driven by AI\u2019s perceived neutrality and lack of intentionality. These effects are exacerbated for high-adaptivity algorithms that can autonomously learn and evolve. This suggests that AI-beliefs might mask actual discrimination."},{"key":"10.1016\/j.copsyc.2026.102464_bib58","unstructured":"Using longitudinal metaphor analysis across 12 months, this study tracked shifts in beliefs about AI\u2019s warmth and competence. Findings show that warmth and human-likeness perceptions increased over time. 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