Fluid Boundaries in Emerging Complex Intelligent Systems: System, Operational, and Organizational Perspectives

Rapid developments in artificial intelligence (AI) are driving the evolution of complex products and systems (CoPS) into complex intelligent systems (CoIS). The introduction of AI implies generativity and increasingly fluid boundaries in such systems and presents challenges for organizations to control and manage systems that are safety critical. Building on a case study represents future CoIS, this article explores fluid boundaries in CoIS, including approaches for navigating system criticality and generativity. The findings point to the relationship between fluid boundaries and a stable organizational and system core, along with a shared core mission. Together, they serve as a platform that enables both contributions from various constituent systems and dynamic reconfigurations of the overall system-of-systems. System criticality and generativity are navigated through setting bounds to generativity by checks and balances involving both human and AI, including safety requirements for constituent systems and overall human oversight. Such an approach extends beyond traditional system integration activities and alters the role of CoIS integrators.

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Publication Details

Journal
IEEE Engineering Management Review
Published
2024-11-21
DOI
https://doi.org/10.1109/emr.2024.3503757
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00

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article

Fluid Boundaries in Emerging Complex Intelligent Systems: System, Operational, and Organizational Perspectives

Gunnar Holmberg, Youshan Yu, Nicolette Lakemond
IEEE Engineering Management Review
Big Data and Business Intelligence
article

Fluid Boundaries in Emerging Complex Intelligent Systems: System, Operational, and Organizational Perspectives

Gunnar Holmberg, Youshan Yu, Nicolette Lakemond
article en

Abstract

Rapid developments in artificial intelligence (AI) are driving the evolution of complex products and systems (CoPS) into complex intelligent systems (CoIS). The introduction of AI implies generativity and increasingly fluid boundaries in such systems and presents challenges for organizations to control and manage systems that are safety critical. Building on a case study represents future CoIS, this article explores fluid boundaries in CoIS, including approaches for navigating system criticality and generativity. The findings point to the relationship between fluid boundaries and a stable organizational and system core, along with a shared core mission. Together, they serve as a platform that enables both contributions from various constituent systems and dynamic reconfigurations of the overall system-of-systems. System criticality and generativity are navigated through setting bounds to generativity by checks and balances involving both human and AI, including safety requirements for constituent systems and overall human oversight. Such an approach extends beyond traditional system integration activities and alters the role of CoIS integrators.

IEEE Engineering Management ReviewVol. 53(5)
Linköping University (SE)
Marcus och Amalia Wallenbergs minnesfond
Openalex Percentile: Top 68%
Big Data and Business Intelligence
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Fluid Boundaries in Emerging Complex Intelligent Systems: System, Operational, and Organizational Perspectives — Gunnar Holmberg, Youshan Yu, et al. · IEEE Engineering Management Review (2024) | TGRS Research Map | TGRS