15:30 - 17:00
Location: Multi-Function Room 1 (19/F LAU)
Chair/s:
Songfa Zhong
Songfa Zhong - Understanding the Mechanism of Altruism in Large Language Models
Yuwen Zhou - Fairness Versus Efficiency in AI Advice: Evidence from Human and LLM Responses
Yiting Chen - Social Identity and Human-AI Task Allocation
Xiaoli Guo - Salience of Disadvantaged Position Reduces AI Aversion in Moral Delegation
Submission 74
Salience of Disadvantaged Position Reduces AI Aversion in Moral Delegation
Panel 1-Multi-Function Room 1 (19/F LAU)-04
Presented by: Xiaoli Guo
Xiaoli Guo 1, Jianning Dang 3, Xiaolin Mei 1, Yin Wu 1, 2
1 Department of Applied Social Sciences, The Hong Kong Polytechnic University, Hong Kong, China
2 Mental Health Research Centre, The Hong Kong Polytechnic University, Hong Kong, China
3 Beijing Key Laboratory of Applied Experimental Psychology, Faculty of Psychology, Beijing Normal University, Beijing, China
Despite rapid advances in artificial intelligence (AI), people remain reluctant to delegate moral authority to AI systems. Prior research has largely explained this reluctance through third-party perceptions of AI's limited mind, while paying less attention to how stakeholders' own positions in a decision may shape such attitudes. Across three main studies and three supplementary studies (N = 2,562), we found that when stakeholder positions were made salient, disadvantaged participants showed a significantly larger increase in AI delegation preference from baseline to the position-salient condition than advantaged participants. The effect held whether positional (dis)advantage was defined by experimental assignment (Study 1), self-perception (Study 2), or pre-existing social category (Study 3). Perceived self-interest alignment mediated this effect across studies, whereas alternative explanations (e.g., perceive fairness) showed inconsistent support. Notably, position salience reduced AI aversion among disadvantaged participants without reversing it, and left aversion among advantaged participants largely unchanged.