可信的人工智能和组织信任:使用社会技术系统分析进行范围审查
Rebecca Vining1,2, Sajjad Karimian3,4, Nick McDonald2
1ADAPT Centre, O'Reilly Institute, Trinity College, University of Dublin, Dublin, Ireland.
Ergonomics
|June 12, 2025
概括
这篇评论探讨了可信的人工智能 (TAI) 如何影响组织信任. 调查结果显示,TAI的实施往往忽视了背景和组织成熟度,阻碍了建立信任的努力.
科学领域:
- 人工智能伦理学 人工智能伦理学
- 组织行为 组织行为
- 信息系统信息系统信息系统
背景情况:
- 组织信任对于有效性至关重要,但在AI部署中经常被忽视.
- 值得信赖的AI (TAI) 和组织信任之间的联系仍然未被充分探索.
- 现有的TAI指导方针侧重于技术,而不是更广泛的组织因素.
研究的目的:
- 检查TAI机制及其在建立组织信任方面的作用.
- 将社会技术系统分析 (STSA) 应用于TAI和组织信任关系.
- 识别当前TAI实施研究和实践中的差距.
主要方法:
- 进行了对学术数据库的范围审查.
- 最初确定了803篇文章,最终包括54篇在分析中.
- 社会技术系统分析 (STSA) 被用于框架审查.
主要成果:
- 在TAI实施中,显著缺乏关注上下文因素,纵向效应和组织成熟度.
- TAI的指导方针主要针对技术信任,而不是更广泛的组织背景.
- 当前的研究还没有充分解决如何通过人工智能在组织内和公众之间建立,维护和修复信任的问题.
结论:
- 成功实施TAI不仅需要技术指导方针,还需要组织成熟度.
- 需要更广泛的组织努力来建立,维护和修复对人工智能系统的信任.
- 未来的研究应该涉及TAI和组织信任的上下文和纵向方面.
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