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However, suggesting that products designed by AI display care for the product and the environment helps overcome this negative inference. This study is important because it shows that simply stating that AI possesses certain human-like traits can be effective at narrowing the human-AI preference gap."},{"key":"10.1016\/j.copsyc.2026.102457_bib3a","unstructured":"This paper shows that even when the quality of AI-generated ethical advice is perceived to be on par with advice from human experts, participants strongly prefer to be advised ethically by humans. However, if they are first exposed to AI-generated advice and can directly assess its quality, their trust in algorithmic reasoning increases and they are less resistant to it. This study is important because it shows that in certain contexts, direct experience with high-quality AI output may be needed to overcome the human-AI preference gap."},{"key":"10.1016\/j.copsyc.2026.102457_bib4a","unstructured":"In four studies, the authors show that individuals prefer financial advice provided from their romantic partners over AI advice. However, anthropomorphizing AI leads participants to accept advice from AI-based robo advisors at rates similar to romantic partners. Thus, this study shows that anthropomorphism can be an effective intervention at bridging the human-AI preference gap."},{"key":"10.1016\/j.copsyc.2026.102457_bib5a","unstructured":"In the context of livestreaming, four experiments show that the use of anthropomorphism can backfire and decrease user engagement. Due to the uncanny valley effect, high-realism AI streamers can elicit stronger negative emotions than low-realism AI streamers if they seem inauthentic; high vocal warmth attenuates this effect. This study is important because it demonstrates limitations of anthropomorphism in overcoming the human-AI preference gap and offers a cross-modal compensatory mechanism."},{"key":"10.1016\/j.copsyc.2026.102457_bib6a","unstructured":"In two experiments (including a field study), this author shows that experiences of awe increase AI acceptance by making the self (and humans, more generally) seem less significant and limited. This is important because it provides evidence that interventions that decrease evaluations of humans (rather than increase perceptions of AI) can be effective at bridging the human-AI preference gap."},{"key":"10.1016\/j.copsyc.2026.102457_bib7a","unstructured":"This research investigates the willingness of bank customers to adopt advice in a field experiment. The study shows that financial advice from AI is of the same quality as advice from human-AI collaboration. However, bank customers are more likely to accept investment advice stemming from human-AI collaboration. This study is important because it documents how human-AI collaboration can counter the human-AI preference gap in a field setting with real stakes, and it suggests that peripheral cues from human involvement enhance the affective appeal of AI-based advice."},{"key":"10.1016\/j.copsyc.2026.102457_bib8a","unstructured":"In two experiments, researchers showed that consumer reactions to human-AI content creation were more positive when content was generated by human-controlled AI authorship as compared to AI-supported human authorship, even though the level of perceived human input was lower in the former condition. The authors suggest that greater human control is viewed more positively and can lead to higher message credibility judgments. 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