Exploring AI Technologies from Ethics to Trust (ENFIELD educational material)
The 2024 ENFIELD webinar was organized in the framework of the Horizon Project ENFIELD, having taken place online on November 15, 2024.
The objective of the webinar was to discuss the critical landscape of AI ethics and trust.



Automation of public services & Robotics: how public authorities can deal with it



Webinar "Distributed and Hierarchical Reinforcement Learning"

Webinar "Towards Transparent, Safe and Trustworthy AI for critical infrastructures"
This webinar focuses on the development of safe, explainable, and algorithmically transparent methods as part of the AI4REALNET project.


What-If Tool
A GitHub repository for the What-If Tool. The What-If Tool (WIT) provides an easy-to-use interface for expanding understanding of a black-box classification or regression ML model.


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

Explainable AI for systems with functional safety requirements
Explainable AI (XAI) is vital for making AI decision-making processes transparent and understandable to human experts, and for ensuring safety and regulatory compliance.