

Fairlearn
Fairlearn is an open-source, community-driven project to help data scientists improve fairness of AI systems.

Holistic framework for AI in critical network infrastructures
This document establishes the main foundations of the AI4REALNET project, in particular, the following key outcomes: - The formal specification of domain-specific use cases (UCs), replicating real-world operating scenarios involving human operator

Online course on Data Spaces for Mobility
Discover the world of mobility data spaces in this online course tailored for mobility professionals with a solid background in mobility planning, operations, data, and management.

FutureNewsCorp, or how the AI Act changed the future of news

The State of AI Regulations
This comprehensive guide sheds light on the current state of the global AI landscape, exploring the scope of each piece of legislation, how businesses are likely to be affected, and what this means for AI governance moving forward.