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

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Abstract

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.

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  • Artificial_Intelligence_in_the_era_of_Big_Data

    Rights statement: © 2019, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/

    Accepted author manuscript, 681 KB, PDF-document

    Embargo ends: 7/08/20

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Details

Original languageEnglish
Pages (from-to)63-71
Number of pages9
JournalInternational Journal of Information Management
Volume48
Early online date7 Feb 2019
DOIs
Publication statusE-pub ahead of print - 7 Feb 2019

Bibliographic note

© 2019, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/

    Keywords

  • AI, Artificial intelligence, Big data, Cognitive computing, Decision making, Expert system, Machine learning, Recommender system, Research agenda

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