Human-AI interaction in safety-critical network infrastructures

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).

Keywords

Subject (DDC)

150 - Psychologie

Project

Event

Exhibition start date

Exhibition end date

Conference start date

Conference end date

Date of the last check

2025/11/26/07:53:02

ISBN

25890042

ISSN

2589-0042

Language

English

Created during FHNW affiliation

Yes

Strategic action fields FHNW

Publication status

Published

Review

Peer review of the complete publication

Open access category

Gold

License

Citation

Mussi, M., Metelli, A. M., Restelli, M., Losapio, G., Bessa, R. J., Boos, D., Borst, C., Leto, G., Castagna, A., Chavarriaga, R., Dias, D., Egli, A., Eisenegger, A., El Manyari, Y., Fuxjäger, A., Geraldes, J., Hamouche, S., Hassouna, M., Lemetayer, B., et al. (2025). Human-AI interaction in safety-critical network infrastructures. iScience, 28(9), 113400. https://doi.org/10.1016/j.isci.2025.113400

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