
VCIO based description of systems for AI trustworthiness characterisation

Z-Inspection
Z-Inspection® is a methodology for assessing the trustworthiness of AI systems.



Labelling initiatives, codes of conduct and other self-regulatory mechanisms for artificial intelligence applications
AI has emerged as a critical area of interest to numerous stakeholders across the world.

Why we don't have robot butlers yet

Automatic Checkerboard Corner Detection and Data Processing Tool

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.

Webinar "Towards Transparent, Safe and Trustworthy AI for critical infrastructures"

Explainable AI for systems with functional safety requirements



Webinar: Knowledge-Assisted AI Applications for Real-World Network Infrastructure

