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Making decisions with AI in complex intelligent systems
Linköping University, Department of Management and Engineering, Project Innovations and Entrepreneurship. Linköping University, Faculty of Science & Engineering. WASP-HS. (NICER)ORCID iD: 0009-0004-8095-2606
Linköping University, Department of Management and Engineering, Project Innovations and Entrepreneurship. Linköping University, Faculty of Science & Engineering. (NICER)ORCID iD: 0000-0002-8338-0218
Linköping University, Department of Management and Engineering, Project Innovations and Entrepreneurship. Linköping University, Faculty of Science & Engineering. (NICER)ORCID iD: 0000-0002-5427-3560
2024 (English)In: Research Handbook on Artificial Intelligence and Decision Making in Organizations / [ed] Ioanna Constantiou, Mayur P. Joshi, and Marta Stelmaszak, Cheltenham: Edward Elgar Publishing, 2024, p. 160-178Chapter in book (Refereed)
Abstract [en]

Many of the benefits of artificial intelligence (AI) are expected to emerge in the context of complex systems that become increasingly intelligent. The transformation of complex systems into complex intelligent systems (CoIS) create a new landscape, not only related to technology development but also to the management and decision-making processes connected to these systems. This chapter seeks to create a new understanding of decision-making with AI in the context of CoIS and outlines 3 central views of decisions making, including (1) the decision-maker, (2) the decision-making process and (3) the decision space. To illustrate several of the new and emerging prerequisites for CoIS, the emerging field of personalized medicine is used as an example disclosing several of the implication of AI integration in decision-making. By outlining the implications of these findings, the chapter contributes with a new understanding of dynamic of human- AI decision-making in the context of CoIS.

Place, publisher, year, edition, pages
Cheltenham: Edward Elgar Publishing, 2024. p. 160-178
Keywords [en]
AI; Decision-making; Complex intelligent systems; Personalized medicine; Decision process; Decision space
National Category
Engineering and Technology Information Systems, Social aspects
Identifiers
URN: urn:nbn:se:liu:diva-210846DOI: 10.4337/9781803926216.00018ISBN: 9781803926209 (print)ISBN: 9781803926216 (electronic)OAI: oai:DiVA.org:liu-210846DiVA, id: diva2:1925633
Funder
Marianne and Marcus Wallenberg FoundationAvailable from: 2025-01-09 Created: 2025-01-09 Last updated: 2025-03-06Bibliographically approved

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Troqe, BijonaHolmberg, GunnarLakemond, Nicolette

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Citation style
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