| Title: |
Human-AI interaction in safety-critical network infrastructures |
| Authors: |
Marco, Mussi; Alberto, Maria Metelli; Marcello, Restelli; Gianvito, Losapio; Ricardo, Bessa; Daniel, Boos; Clark, Borst; Giulia, Leto; Alberto, Castagna; Ricardo, Chavarriaga; Duarte, Dias; Adrian, Egli; Andrina, Eisenegger; Yassine, El Manyari; Anton, Fuxjäger; Joaquim, Geraldes; Samira, Hamouche; Mohamed, Hassouna; Bruno, Lemetayer; Milad, Leyli-Abadi; Roman, Liessner; Jonas, Lundberg; Antoine, Marot; Maroua, Meddeb; Viola, Schiaffonati; Manuel, Schneider; Thilo, Stadelmann; Julia, Usher; Herke, Van Hoof; Jan, Viebahn; Toni, Waefler; Giacomo, Zanotti |
| Publisher Information: |
Cell Press |
| Publication Year: |
2025 |
| Collection: |
Zenodo |
| Description: |
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). |
| Document Type: |
journal/newspaper |
| Language: |
unknown |
| Relation: |
https://zenodo.org/communities/ai4realnet/; https://zenodo.org/communities/eu/; https://zenodo.org/records/17113295; oai:zenodo.org:17113295; https://doi.org/10.1016/j.isci.2025.113400 |
| DOI: |
10.1016/j.isci.2025.113400 |
| Availability: |
https://doi.org/10.1016/j.isci.2025.113400; https://zenodo.org/records/17113295 |
| Rights: |
Creative Commons Attribution 4.0 International ; cc-by-4.0 ; https://creativecommons.org/licenses/by/4.0/legalcode |
| Accession Number: |
edsbas.D6DE7F89 |
| Database: |
BASE |