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Artificial intelligence for decision making in the era of Big Data - evolution, challenges and research agenda

机译:大数据时代的决策人工智能-演进,挑战和研究议程

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Artificial intelligence (AI) has been in existence for over six decades and has experienced AI winters and springs. The rise of super computing power and Big Data technologies appear to have empowered AI in recent years. The new generation of AI is rapidly expanding and has again become an attractive topic for research. This paper aims to identify the challenges associated with the use and impact of revitalised AI based systems for decision making and offer a set of research propositions for information systems (IS) researchers. The paper first provides a view of the history of AI through the relevant papers published in the International Journal of Information Management (IJIM). It then discusses AI for decision making in general and the specific issues regarding the interaction and integration of AI to support or replace human decision makers in particular. To advance research on the use of AI for decision making in the era of Big Data, the paper offers twelve research propositions for IS researchers in terms of conceptual and theoretical development, AI technology-human interaction, and AI implementation.
机译:人工智能(AI)已有60多年的历史,并且经历过AI的冬季和春季。近年来,超级计算能力和大数据技术的崛起似乎已增强了AI的能力。新一代的AI正在迅速扩展,并再次成为有吸引力的研究主题。本文旨在确定与基于复兴的AI系统的决策使用和影响相关的挑战,并为信息系统(IS)研究人员提供一系列研究建议。本文首先通过在《国际信息管理杂志》(IJIM)上发表的相关论文来介绍AI的历史。然后讨论了一般用于决策的AI,以及有关AI交互和集成以支持或替代人类决策者的特定问题。为了推进在大数据时代将人工智能用于决策的研究,本文从概念和理论发展,人工智能技术与人的互动以及人工智能实施的角度为信息系统研究人员提供了十二个研究命题。

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