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AI and the decision-making process: a literature review in healthcare, financial, and technology sectors
United Arab Emirates University, United Arab Emirates.
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science.ORCID iD: 0000-0002-6309-2892
Zayed University, Dubai.
2024 (English)In: Journal of Decision Systems, ISSN 1246-0125, E-ISSN 2116-7052Article in journal (Refereed) Epub ahead of print
Abstract [en]

Artificial intelligence is a key technology driving digital transformation across all economic sectors. The prospects and threats of AI in decision-making have been central to public and research debates recently. This paper explores AI's impact on decision-making, identifying both opportunities and challenges in healthcare, financial, and technology sectors. Based on a systematic literature review of 118 papers from 2020-2023, the findings show that most scholars are optimistic about AI's potential. They suggest that the challenges posed by AI can be addressed through technical, regulatory, and managerial approaches. While AI often serves as a cognitive assistant in data collection and evaluation, its role in decision-making is expected to grow as the technology becomes more institutionalized.

Place, publisher, year, edition, pages
Taylor & Francis, 2024.
Keywords [en]
Artificial intelligence, challenge, decision-making, opportunity, prospect, literature review, machine learning
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:bth-26343DOI: 10.1080/12460125.2024.2349425ISI: 001230560500001Scopus ID: 2-s2.0-85194097956OAI: oai:DiVA.org:bth-26343DiVA, id: diva2:1865652
Available from: 2024-06-05 Created: 2024-06-05 Last updated: 2024-06-14Bibliographically approved

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Alawadi, Sadi

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