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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 88
Social Identity and Human-AI Task Allocation
Panel 1-Multi-Function Room 1 (19/F LAU)-03
Presented by: Yiting Chen
Yiting Chen 1, You Shan 2, Shuangyu Yang 3
1 Department of Economics, Lingnan University
2 Faculty of Business for Science and Technology, School of Management, University of Science and Technology of China
3 Institute for Economic and Social Research, Jinan University
We extend social identity theory to study human-AI trade-offs in hiring contexts. In a baseline experiment, representative U.S. participants allocate tasks between a human worker and either another human, ChatGPT, or the foreign model DeepSeek, with explicitly varied productivity. On average, people incur costs to under-allocate tasks to AI, particularly DeepSeek. Two additional experiments, inducing identities on workers via minimal-group and political affiliations, reveal a hierarchy: in-group humans receive the most, followed comparably by out-group humans and in-group AI, and out-group AI receives the fewest. Individual perceived social distance to AI and groupy tendency jointly shape the task allocation decisions.