定义以人为中心的方式的人类-人工智能合作:范围审查和网络分析
Sophie Berretta1, Alina Tausch1, Greta Ontrup1
1Department of Psychology, Organizational, and Business Psychology, Ruhr University Bochum, Bochum, Germany.
Frontiers in artificial intelligence
|October 16, 2023
概括
人与人工智能合作 (HAIT) 正在重塑工作,需要以人为中心的方法. 本研究综合了关于HAIT的研究,提出了一个统一的定义,并强调了未来对有效的人类-AI合作的研究需求.
科学领域:
- 社会科学 社会科学 社会科学
- 计算机科学 计算机科学
- 人与计算机的交互
背景情况:
- 人工智能 (AI) 在工作场所的整合需要转向以人为中心的研究,将AI视为协作团队成员.
- 这种演变导致了人类-人工智能合作 (HAIT) 的出现,人类和人工智能结合能力来实现共同的目标.
- 对于理解和设计有效的HAIT交互来说,社会技术视角至关重要.
研究的目的:
- 系统地审查和综合现有的人类-人工智能合作 (HAIT) 研究流.
- 通过分析当前的文献来得出HAIT的统一的社会技术定义.
- 确定HAIT的先例和结果,以告知未来的研究方向.
主要方法:
- 图书统计网络分析,以确定HAIT内部不同的研究集群.
- 范围审查以全面绘制有关HAIT的现有文献.
- 综合发现,提出统一的定义和确定研究差距.
主要成果:
- 网络分析揭示了五个不同的研究集群,重点关注人类/任务变量,AI可解释性,AI驱动的机器人技术和AI性能感知.
- 目前的HAIT文献主要以技术为中心,缺乏一致的定义或术语.
- 有多种不同的研究重点,但对HAIT的统一理解尚未出现.
结论:
- 提出了人类-人工智能合作 (HAIT) 的统一定义,将以人为中心和以团队为导向的视角整合在一起.
- 未来的研究应该专注于为HAIT开发一个强大的理论和概念基础.
- 这项工作支持了对理解人工智能系统中人类工作的更全面方法的需求.
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