A Conceptual Framework for AI-based Decision Systems in Critical Infrastructures
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. The flexibility in its adoption is also demonstrated through its instantiation on an already existing framework.
Code (0)
등록된 구현이 없습니다.
Tasks
Decision MakingPhilosophyMethods 이 논문이 사용한 방법론
Similar Papers 제목 키워드 기반
An approach to predictively securing critical cloud infrastructures through probabilistic modeling
Cloud infrastructures are being increasingly utilized in critical infrastructures such as banking/finance, transportation and utility management. Sophistication and resources used in recent security breaches including th…
ManagementToward a New Science of AI as Cognitive Infrastructure
Contemporary human-AI interaction research overlooks how AI systems fundamentally reshape human cognition pre-consciously, a critical blind spot for understanding distributed cognition. This paper introduces "Cognitive I…
A graph generation pipeline for critical infrastructures based on heuristics, images and depth data
Virtual representations of physical critical infrastructures, such as water or energy plants, are used for simulations and digital twins to ensure resilience and continuity of their services. These models usually require…
Instance SegmentationGraph GenerationObject DetectionPoint CloudsA Novel MDP Based Decision Support Framework to Restore Earthquake Damaged Distribution Systems
Electric power network expanded rapidly in recent decades due of the excessive need of electricity in every aspect of life, including critical infrastructures such as medical services, and transportation and communicatio…
Risk and Vulnerability Assessment of Energy-Transportation Infrastructure Systems to Extreme Weather
The interaction between extreme weather events and interdependent critical infrastructure systems involves complex spatiotemporal dynamics. Multi-type emergency decisions within energy-transportation infrastructures sign…