当人类和人工智能的结合有用时:系统性审查和元分析
Michelle Vaccaro1,2, Abdullah Almaatouq1, Thomas Malone3
1MIT Center for Collective Intelligence, Sloan School of Management, Massachusetts Institute of Technology, Cambridge, MA, USA.
Nature human behaviour
|October 29, 2024
概括
人与人工智能的合作往往低于人类或人工智能单独合作的表现. 在创建内容方面可以看到收益,但在决策任务中会出现损失,突出的是AI.
科学领域:
- 人与计算机的交互
- 人工智能的人工智能
- 认知科学 认知科学
背景情况:
- 人工智能 (AI) 的使用越来越多,以增强人类的能力.
- 缺乏全面了解什么时候人类-人工智能系统的表现优于单个组件.
- 需要对跨越不同任务和不同人群的人类-人工智能协作的有效性进行系统分析.
结论:
- 人与人工智能合作的有效性是高度异质的,并且取决于环境.
- 任务类型 (决策与内容创建) 显著影响协作结果.
- 结果表明了优化人类-人工智能系统设计的途径,以提高性能和协作.
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