Position paper on AI for the operation of critical energy and mobility network infrastructures

This position paper outlines AI4REALNET’s approach to applying AI in network infrastructure operations, translating application needs into algorithmic proposals for effective human-AI collaboration in decision-making processes. The document includes a review of AI decision-making and human-AI interaction, use cases for each critical infrastructure, and digital environments for training AI agents. It also identifies promising research directions to enhance critical network infrastructures, such as advanced learning techniques and human-AI co-learning models. This involves developing learning techniques, hybrid co-learning models, and autonomous AI systems operating under human supervision.