Human-AI interaction in safety-critical network infrastructures
Marco Mussi (Politecnico di Milano)
Alberto Maria Metelli (Politecnico di Milano)
Marcello Restelli (Politecnico di Milano)
Gianvito Losapio (Politecnico di Milano)
Ricardo J. Bessa (Institute for Systems and Computer Engineering, Technology and Science (INESC TEC))
Daniel Boos (SBB Swiss Federal Railways)
Clark Borst (TU Delft - Control & Simulation)
Giulia Leto (TU Delft - Operations & Environment)
Alberto Castagna (enliteAI)
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Abstract
Artificial Intelligence (AI) is transforming every aspect of modern society. It demonstrates a high potential to contribute to more flexible operations of safety-critical network infrastructures under deep transformation to tackle global challenges, such as climate change, energy transition, efficiency, and digital transformation, including increasing infrastructure resilience to natural and human-made hazards. The widespread adoption of AI creates the conditions for a new and inevitable interaction between humans and AI-based decision systems. In such a scenario, creating an ecosystem in which humans and AI interact healthily, where the roles and positions of both actors are well-defined, is a critical challenge for research and industry in the coming years. This perspective article outlines the challenges and requirements for effective human-AI interaction by taking an interdisciplinary point of view that merges computer science, decision-making sciences, psychological constructs, and industrial practices. The work focuses on three emblematic safety-critical scenarios from two different domains: energy (power grids) and mobility (railway networks and air traffic management).
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