
Webinar "Industry-driven Use Cases"
AI4REALNET project covers the perspective of AI-based solutions addressing critical systems (electricity, railway, and air traffic control), modelled by networks that can be simulated and traditionally operated by humans and where AI complements a

Webinar "Distributed and Hierarchical Reinforcement Learning"
In this webinar, AI4REALNET project provides an overview of two emerging topics in Reinforcement Learning (RL): Distributed RL and Hierarchical RL.

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 regulatory perspective
In this webinar, we heard from regulators at different administrative levels, practitioners and from academics about their experiences, needs and challenges.

Bringing AI closer to citizens – smart communities
Cities, regions and local administrations increasingly represent testbeds for technological innovation and are adopting AI and digital solutions in an agile, efficient and citizen-centred manner.

Recommendation on the Ethics of Artificial Intelligence
This Recommendation aims to provide a basis to make AI systems work for the good of humanity, individuals, societies and the environment and ecosystems, and to prevent harm. It also aims at stimulating the peaceful use of AI systems.