
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.

MSc Responsible Artificial Intelligence
The MSc Responsible Artificial Intelligence is an integrated programme of study with dual foci on both theory and application.

Designing a Rights-Based Global Index on Responsible AI
A frameworks have been developed that set out core ethical principles to be upheld as the technology is designed, developed, used, and evaluated.

Designing a Rights-Based Global Index on Responsible AI
A frameworks have been developed that set out core ethical principles to be upheld as the technology is designed, developed, used, and evaluated.

Automation of public services & Robotics: how public authorities can deal with it
This 3-hour workshop focused on the procurement of ICT solutions that deal with the automation of public services & robotics.