人工智能错误对人类在循环过程中的影响
Ujué Agudo1,2, Karlos G Liberal1, Miren Arrese1
1Bikolabs/Biko, Pamplona, Spain.
Cognitive research: principles and implications
|January 7, 2024
概括
人类判断的准确性随着人工智能 (AI) 在自动化决策中的不正确支持而下降. 在判断之前接受人工智能反,特别是当有缺陷时,会显著损害决策准确性.
科学领域:
- 人与计算机的交互
- 公共部门 技术 公共部门 技术
- 算法决策 - - 算法决策是指算法的决策.
背景情况:
- 在公共部门,自动化决策正在扩大.
- 建议人类监督以减轻算法偏差和错误.
- 现有的关于人类循环系统的研究缺乏关于好处,风险和影响因素的确发现.
研究的目的:
- 研究人类循环人工智能 (AI) 支持对决策准确性的影响.
- 检查AI反的时间 (在人类判断之前或之后) 如何影响结果.
- 确定影响自动化决策过程的特定人机交互方面.
主要方法:
- 两项实验模拟了法律环境中的自动化决策.
- 参与者判断了被告和犯罪,人工智能支持的时间被操纵.
- 独立变量:人工智能反的时间 (判断前与判断后).
主要成果:
- 不正确的AI支持会对人类判断准确性产生负面影响.
- 与判断后反相比,判断前的AI反会导致更大的准确性降低.
- 人与计算机与人工智能交互的时间是决定质量的关键因素.
结论:
- 在自动化系统中,如果人工智能提供不正确的信息,人类的监督可能是有害的.
- 人工智能反的时间是至关重要的;在判断之前接收有缺陷的人工智能输入显著降低了准确性.
- 需要进行进一步的研究,以优化公共部门自动化决策中的人类-人工智能协作.
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