在组织环境中概念化自动化决策
1Department of Philosophy, University of Zurich, Zurich, Switzerland.
概括
自动决策 (ADM) 涉及使用算法在组织中做出实际的,引发行动的选择,而不仅仅是认知选择. 这澄清了ADM类型,例如建议,卸载或取代人类决策.
科学领域:
- 组织研究 组织研究
- 信息系统信息系统信息系统
- 决策科学 决策科学 决策科学
背景情况:
- 对自动化决策 (ADM) 的日益增长的兴趣需要概念的清晰度.
- 现有的研究缺乏在组织背景下对ADM的明确定义和划界.
研究的目的:
- 开发一个适合组织环境的ADM概念化.
- 为了区分ADM与类似的算法支持的实践.
- 为了分类不同类型的ADM.
主要方法:
- 决策过程的概念分析.
- 区分认知决策 (p) 和实际决策 (φ).
- 检查算法在将认知输出转化为可操作的决策中的作用.
主要成果:
- ADM被定义为使用算法来解决决策问题,专注于实际的,触发行动的选择 (φ).
- 算法工具主要解决认知问题 (p),但当它们的输出触发行动时,它们就成为ADM.
- 确定了三种ADM类型:建议,卸载和取代人类决策.
结论:
- 为组织环境建立了ADM的明确概念化.
- 这种p-φ关系是理解和分类ADM的关键.
- 这个框架将ADM与其他算法支持的实践区分开来.
关键词:
算法决策 (ADM) 算法决策 (ADM) 算法决策 (ADM) 算法决策 (ADM) 算法决策 (ADM) 算法决策 (ADM) 算法决策人工智能 (AI) 是一种人工智能.概念分析 概念分析关于ADM的定义人与计算机的交互 (HCI)社会技术系统 (STS) 是指社会技术系统.更多相关视频
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