ISSN 0439-755X
CN 11-1911/B

Acta Psychologica Sinica ›› 2025, Vol. 57 ›› Issue (11): 1885-1900.doi: 10.3724/SP.J.1041.2025.1885

• Reports of Empirical Studies • Previous Articles     Next Articles

Human-AI cooperation makes individuals more risk seeking: The mediating role of perceived agentic responsibility

GENG Xiaowei1,2(), LIU Chao3, SU Li2, HAN Bingxue2, ZHANG Qiaoming4, WU Mingzheng5()   

  1. 1Zhejiang Philosophy and Social Science Laboratory for Research in Early Development and Childcare, Hangzhou Normal University, Hangzhou 311121, China
    2Department of Psychology, Hangzhou Normal University, Hangzhou 311121, China
    3School of Marxism, Binzhou Polytechnic, Binzhou 256600, China
    4College of Education, Ludong University, Yantai 264025, China
    5Department of Psychology and Behavioral Sciences, Zhejiang University, Hangzhou 311121, China
  • Published:2025-11-25 Online:2025-09-25
  • Contact: GENG Xiaowei, xwgeng@hznu.edu.cn;WU Mingzheng, E-mail: psywu@zju.edu.cn

Abstract:

With advancements in artificial intelligence (AI), artificial intelligence is increasingly becoming a “helper” for humans. In the process of human-AI cooperation risk decision-making, it is urgent to clarify whether artificial intelligence will encourage human risk-taking behavior and how perceived agentic responsibility can play a role. In order to investigate the impact and mechanism of human-AI cooperation on individual risk decision-making, four experiments were conducted. The results showed that: (1) Participants in the control group (i.e., without cooperation) exhibited the highest risk-taking behavior, while those engaged in human-AI cooperation took greater risks than those in human-human cooperation. (2) Individual agentic responsibility partially mediated the effect of human-AI cooperation on individuals’ risk decision-making. Specifically, participants reported a higher sense of agentic responsibility in human-AI cooperation compared to human-human cooperation, which contributed to increased risk-taking. (3) Outcome feedback significantly moderates the mediating role of individual agentic responsibility regarding the influence of human-AI cooperation (versus human-human cooperation) on individuals’ risk decision-making. Notably, under success conditions, participants attributed greater responsibility to themselves in human-AI collaboration compared to human-human collaboration. Conversely, under failure conditions, there was no significant difference in responsibility attribution between the two types of collaboration.

Key words: human-AI cooperation, human-human cooperation, risk decision making, perceived agentic responsibility, outcome feedback