A Conceptual Framework for AI-based Decision Systems in Critical Infrastructures
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arXiv
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| Main Authors: | , , , , , , , , , , , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866908495061712896 |
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| author | Leyli-abadi, Milad Bessa, Ricardo J. Viebahn, Jan Boos, Daniel Borst, Clark Castagna, Alberto Chavarriaga, Ricardo Hassouna, Mohamed Lemetayer, Bruno Leto, Giulia Marot, Antoine Meddeb, Maroua Meyer, Manuel Schiaffonati, Viola Schneider, Manuel Waefler, Toni |
| author_facet | Leyli-abadi, Milad Bessa, Ricardo J. Viebahn, Jan Boos, Daniel Borst, Clark Castagna, Alberto Chavarriaga, Ricardo Hassouna, Mohamed Lemetayer, Bruno Leto, Giulia Marot, Antoine Meddeb, Maroua Meyer, Manuel Schiaffonati, Viola Schneider, Manuel Waefler, Toni |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_16133 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | A Conceptual Framework for AI-based Decision Systems in Critical Infrastructures Leyli-abadi, Milad Bessa, Ricardo J. Viebahn, Jan Boos, Daniel Borst, Clark Castagna, Alberto Chavarriaga, Ricardo Hassouna, Mohamed Lemetayer, Bruno Leto, Giulia Marot, Antoine Meddeb, Maroua Meyer, Manuel Schiaffonati, Viola Schneider, Manuel Waefler, Toni Computers and Society Artificial Intelligence 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. |
| title | A Conceptual Framework for AI-based Decision Systems in Critical Infrastructures |
| topic | Computers and Society Artificial Intelligence |
| url | https://arxiv.org/abs/2504.16133 |