对于以人为中心的人工智能在工作中至关重要的是什么? - - 走向一个跨学科的理论
Athanasios Mazarakis1, Christian Bernhard-Skala2, Martin Braun3
1ZBW - Leibniz Information Centre for Economics, Web Science, Kiel, Germany.
Frontiers in artificial intelligence
|November 29, 2023
概括
以人为中心的人工智能 (HCAI) 需要一个跨学科的方法,以有效地在工作场所实施. 不同领域提供独特的见解,强调人类能力,自主性,学习和信息素养,以获得成功的HCAI.
科学领域:
- 人工智能的人工智能
- 人类因素 人类因素
- 认知科学 认知科学
背景情况:
- 以人为中心的人工智能 (HCAI) 缺乏明确的定义,学科差异阻碍了其应用.
- HCAI范围的学科差异需要系统地绘制,特别是在工作环境中.
研究的目的:
- 为了比较跨人类因素和人体工程学 (HFE),心理学,人机交互 (HCI),信息科学和成人教育的HCAI概念化.
- 讨论HCAI的规范,理论和方法方法及其对研究和实践的影响.
- 建立以人为中心的跨学科AI理论的基础.
主要方法:
- 从不同学科对HCAI观点的比较分析.
- 识别理论和方法方法的共同点和差异.
- 在工作场所成功实施HCAI的关键方面综合.
主要成果:
- 在HCAI的范围中存在显著的纪律差异,特别是在工作环境方面.
- 跨学科的方法对于有效开发,转移和实施HCAI至关重要.
- 关键的HCAI方面包括人类能力,可控性,自主性,信任,学习设计和信息素养.
结论:
- 跨学科的方法对于在工作场所推进HCAI至关重要.
- 诸如HFE,心理学,HCI,信息科学和成人教育等学科为HCAI提供了必要的视角.
- 这项研究介绍了以人为中心的跨学科AI的协同人类-人工智能共生理论 (SHAST) 框架.
关键词:
这就是HCAI.成人教育是成人教育.人工智能的人工智能是人工智能.人类因素和人体工程学人与计算机的交互 (HCI)信息科学 信息科学 信息科学这是一个跨学科的跨学科课程.心理学 心理学 心理学更多相关视频
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