靠近还是避开? 感知AI可解释性和员工工作制作之间的关系
Weiwei Huo1, Jiaying Xie1, Jiaqi Yan2
1SILC Business School, Shanghai University, Chengzhong Road, 201800 Shanghai, China.
Acta psychologica
|May 27, 2025
概括
感知人工智能 (AI) 的可解释性通过增强利益感知和减少威胁感知来提高员工的工作制作. 伦理气候进一步加强了人工智能在工作场所的解释效应.
科学领域:
- 组织行为 组织行为
- 人工智能伦理学 人工智能伦理学
- 人力资源管理 人力资源管理
背景情况:
- 对算法透明度的日益关注迫使人们对人工智能 (AI) 在组织决策中的可解释性进行研究.
- 员工职位制作,即职位角色的积极修改,是工作场所技术影响的一个关键领域.
- 了解人工智能可解释性和工作制作之间的相互作用对于有效的人类-人工智能协作至关重要.
研究的目的:
- 调查被认为的人工智能 (AI) 可解释性对员工方法的影响,并避免工作制作.
- 检查人工智能导向的利益和威胁感知在人工智能可解释性和工作制造之间的关系中的调解作用.
- 探索组织道德气候对这些关系的温和影响.
主要方法:
- 对278名医务人员的多波调查数据的分析.
- 应用双路径模型来评估AI可解释性的影响.
- 统计检查通过利益/威胁感知调解和通过道德气候调节的调解.
主要成果:
- 人工智能可解释性的感知积极影响了工作制作的方法和规避.
- 人工智能可解释性提高了人们对人工智能相关好处的看法,并减少了人们对人工智能相关威胁的看法.
- 伦理气候显著加强了人工智能可解释性对利益和威胁感知的影响.
结论:
- 人工智能可解释性的感知是员工通过对人工智能的改变感知来创造工作的一个重要驱动因素.
- 组织的道德气候在塑造人工智能可解释性对员工的影响方面发挥着至关重要的作用.
- 研究结果为人工智能,工作制造和组织行为研究提供了理论贡献,对在工作场所管理人工智能有实际意义.
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