Abstract:

Based on 279 questionnaires from gig workers, with fairness, privacy and autonomy legitimacy as intermediary variables and AI risk perception as adjusting variable, this paper discusses the double-edged sword effect of perceived algorithmic control on gig workers’ emotional exhaustion. The results show that legitimacy judgment negatively affects gig workers’ emotional exhaustion and completely mediates the impact of perceived algorithmic control on emotional exhaustion. Perceptual algorithm specification guidance negatively affects gig workers’ emotional exhaustion through fairness legitimacy judgment, perceptual algorithm tracking evaluation positively affects gig workers’ emotional exhaustion through privacy legitimacy judgment, and perceptual algorithm behavior constraints positively affect gig workers’ emotional exhaustion through autonomous legitimacy  judgment. AI risk perception strengthens the negative impact of perception algorithm tracking and evaluation on privacy legitimacy judgment.

Key words:

perceived algorithmic control；legitimacy , judgment；emotional exhaustion；AI risk perception

摘要：

基于279份来自零工工作者的问卷调查数据，以公平、隐私、自主合法性判断为中介变量，以人工智能风险观念为调节变量，探讨感知算法控制的双刃剑效应对零工工作者情绪耗竭的影响。研究结果表明：合法性判断负向影响零工工作者情绪耗竭且完全中介了感知算法控制对情绪耗竭的影响；感知算法规范指导通过公平合法性判断负向影响零工工作者情绪耗竭，感知算法追踪评估通过隐私合法性判断正向影响零工工作者情绪耗竭，感知算法行为约束通过自主合法性判断正向影响零工工作者情绪耗竭；人工智能风险观念强化了感知算法追踪评估对隐私合法性判断的负向影响。

关键词:

感知算法控制, 合法性判断, 情绪耗竭, 人工智能风险观念