算法不透明的双刃剑效应:自决理论的视角
Chunhong Guo1, Huifang Liu2, Fangbai Song3
1School of Business Administration, University of Science and Technology Liaoning, China.
Acta psychologica
|September 25, 2025
概括
算法不透明可以通过培养激情来提高效率. 然而,它对员工行为的影响,如积极学习或政治行动,取决于任务.
科学领域:
- 管理科学 管理科学
- 组织行为 组织行为
- 人工智能伦理学 人工智能伦理学
背景情况:
- 算法不透明性通常被认为是负面的,尽管有潜在的效率好处.
- 现有的研究缺乏对算法不透明性如何在特定情况下影响员工行为和效率的深入理解.
研究的目的:
- 调查算法不透明对员工效率和行为的细微影响.
- 确定适度算法不透明度和员工成果之间的关系的上下文因素.
主要方法:
- 使用结构方程建模.
- 从中国北部一家制造业公司的421名全职员工中收集了与人工智能互动的数据.
- 这项研究检查了与算法不透明性相关的员工激情和行为反应.
主要成果:
- 算法不透明性促进了和的激情,导致在结构化的AI任务中积极学习.
- 算法不透明可以诱导强迫激情,导致在非结构化的AI任务期间的政治行为.
结论:
- 算法不透明的影响取决于上下文,根据任务结构不同地影响员工的激情和行为.
- 这些发现有助于算法不透明性和自决理论,突出其影响的双重性质.
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