对人工智能的情感和认知信任:确定研究机会的框架
Breagin K Riley1, Andrea Dixon2
1University of Notre Dame, USA.
Current opinion in psychology
|July 11, 2024
概括
本研究结合了一般信任和人工智能 (AI) 信任框架,分析了它们在医疗保健和执法方面的应用,以了解利益相关者在AI实施中的信任动态.
科学领域:
- 计算机科学 计算机科学
- 社会科学 社会科学 社会科学
- 伦理学 伦理学 伦理学
背景情况:
- 信任是一个复杂的,多维的概念.
- 对人工智能 (AI) 的信任是一个截然不同的,但相关的构造.
- 人工智能的实施深深植根于经济背景.
研究的目的:
- 整合一般信任和人工智能信任框架.
- 分析特定行业内人工智能实施中的信任动态.
- 确定影响利益相关者对人工智能系统信任的因素.
主要方法:
- 文学综述综合信任理论.
- 在医疗保健和执法部门采用人工智能的比较分析.
- 将联合信任框架应用于行业案例研究.
主要成果:
- 在各个行业中观察到利益相关者对人工智能的信任程度各不相同.
- 医疗保健和执法部门的具体实施策略会影响信任.
- 拟议的框架突出了对人工智能的信任和不信任的领域.
结论:
- 将一般信任和人工智能信任框架结合起来,可以提供全面的理解.
- 环境经济因素显著影响人工智能信任.
- 需要进一步的研究来验证在各种AI依赖部门的框架.
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