决策科学中的人工智能系统设计：回顾过去，展望未来

IF 6.7 1区计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Decision Support Systems Pub Date : 2024-04-24 DOI:10.1016/j.dss.2024.114230

Veda C. Storey , Alan R. Hevner , Victoria Y. Yoon

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引用次数: 0

摘要

由于人工智能（AI）技术和复杂的人类-人工智能系统（HAIS）设计的飞速发展，决策科学领域正在经历重大的颠覆和重塑。人类决策行为与尖端人工智能能力的融合正在以不可逆转的方式改变着商业和社会。在本文中，我们考察了之前发表在《决策支持系统》上的研究成果，这些研究成果为 HAIS 设计科学研究（DSR）做出了贡献。我们定义了DSR、人工智能技术设计和人机交互设计之间的协同互动，并以此为基础确定了DSS HAIS文献分析的维度。我们确定了关键挑战，从而为设计作为复杂决策科学问题解决方案的 HAIS 提出了未来的研究方向。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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The design of human-artificial intelligence systems in decision sciences: A look Back and directions forward

The field of decision sciences is undergoing significant disruption and reinvention because of rapid advances in artificial intelligence (AI) technologies and the design of complex human-artificial intelligence systems (HAIS). The integration of human decision behaviors with cutting-edge AI capabilities is transforming business and society in irreversible ways. In this paper, we examine prior research published in Decision Support Systems that makes contributions to HAIS design science research (DSR). We define synergistic interactions among DSR, AI technology design, and human interaction design, which we use to specify the dimensions for an analysis of the DSS HAIS literature. We identify key challenges, leading to future research directions for the design of HAIS as solutions for complex decision science problems.

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来源期刊

Decision Support Systems 工程技术-计算机：人工智能

CiteScore

14.70

自引率

6.70%

发文量

119

审稿时长

13 months

期刊介绍： The common thread of articles published in Decision Support Systems is their relevance to theoretical and technical issues in the support of enhanced decision making. The areas addressed may include foundations, functionality, interfaces, implementation, impacts, and evaluation of decision support systems (DSSs).