【摘要】 理解人类对算法服务的负面反应，是有效应对算法管理挑战的关键前提，是推动新一代人工智能健康发展和推进数字社会建设的重要议题。学术界对算法厌恶问题展开研究并取得丰富成果，但多数仅针对单一领域的单一问题。本文运用系统文献综述法，采用“概念辨析—形成机制—理论边界—研究展望”的框架，对人工智能时代算法厌恶的研究进展进行梳理与解析。首先，对管理领域算法厌恶的核心文献进行系统性梳理，在辨析算法、人工智能、机器人三者关系的基础上，界定算法的内涵和外延，明确提出人工智能时代算法厌恶的定义。其次，构建理论研究框架，从算法视角和人类视角双维度提炼出算法厌恶的6种成因机制，并从个体、情境和算法3个维度阐述算法厌恶的12种理论边界。最后，提出具有科学价值和实践意义的六大未来研究议题，为深化算法厌恶理论和实践研究提供理论指南。本文拓展了算法厌恶理论体系研究的认知边界，对促进中国企业有效应对算法管理挑战、推动中国人工智能健康发展和数字社会建设具有重要启示。更多还原

【Abstract】 Understanding the negative reactions of individuals towards algorithmic services is a pivotal prerequisite for effectively addressing the challenges of algorithm management. It is also a crucial topic for promoting the healthy development of the new generation of artificial intelligence and advancing the construction of the digital society. Although the academic community has made significant progress in researching algorithm aversion, most studies have been limited to a singular domain with a singular issue. Our paper employs a systematic literature review methodology and utilizes a framework comprising concept clarification, formation mechanisms, theoretical boundaries,and research prospects to comprehensively analyze and synthesize the research progress of algorithm aversion in the era of artificial intelligence. Firstly, we systematically review the core literature on algorithm aversion in the management domain. Based on the differentiation and analysis of the relationship among algorithms, artificial intelligence, and robots, we establish the connotation and extension of algorithms and provide a clear definition for algorithm aversion in the era of artificial intelligence. Secondly, we construct a theoretical research framework, extracting six causative mechanisms of algorithm aversion from both algorithmic and human perspectives, and elucidating twelve theoretical boundaries of algorithm aversion from the dimensions of individuals, contexts, and algorithms. Finally, we propose six future research topics that hold scientific value and practical significance, offering a theoretical guide for further advancing the research on algorithm aversion theory and practice. Our study expands the cognitive boundaries of researches on the theoretical system of algorithm aversion and provides important insights for facilitating addressing algorithm management challenges for Chinese enterprises, promoting the healthy development of artificial intelligence, and advancing the construction of a digital society in China.更多还原