A conceptual framework for AI-based decision systems in critical infrastructures
Loading...
Author (Corporation)
Publication date
19.08.2025
Typ of student thesis
Course of study
Collections
Type
04B - Conference paper
Editors
Editor (Corporation)
Supervisor
Parent work
Special issue
DOI of the original publication
Link
Series
Series number
Volume
Issue / Number
Pages / Duration
Patent number
Publisher / Publishing institution
arxiv
Place of publication / Event location
Ithaca
Edition
Version
Programming language
Assignee
Practice partner / Client
Abstract
The interaction between humans and AI in safety-critical systems presents a unique set of challenges that remain partially addressed by existing frameworks. These challenges stem from the complex interplay of requirements for transparency, trust, and explainability, coupled with the necessity for robust and safe decision-making. A framework that holistically integrates human and AI capabilities while addressing these concerns is notably required, bridging the critical gaps in designing, deploying, and maintaining safe and effective systems. This paper proposes a holistic conceptual framework for critical infrastructures by adopting an interdisciplinary approach. It integrates traditionally distinct fields such as mathematics, decision theory, computer science, philosophy, psychology, and cognitive engineering and draws on specialized engineering domains, particularly energy, mobility, and aeronautics. Its flexibility is further demonstrated through a case study on power grid management.
Keywords
Artificial intelligence, Computers and society, Computer and information sciences
Event
2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
Exhibition start date
Exhibition end date
Conference start date
Conference end date
Date of the last check
27.11.2025
ISBN
ISSN
Language
English
Created during FHNW affiliation
Yes
Strategic action fields FHNW
Publication status
Published
Review
No peer review
Open access category
Diamond
License
Citation
Leyli-abadi, M., Bessa, R. J., Viebahn, J., Boos, D., Borst, C., Castagna, A., Chavarriaga, R., Hassouna, M., Lemetayer, B., Leto, G., Marot, A., Meddeb, M., Meyer, M., Schiaffonati, V., Schneider, M., & Wäfler, T. (2025, August 19). A conceptual framework for AI-based decision systems in critical infrastructures. 2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC). https://doi.org/10.48550/ARXIV.2504.16133