
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.

Human activity recognition in time series in PIR sensor networks with reinforcement learning
Recognizing human activity from IoT events is essential for automatic light scene setting. A challenge with IoT systems is the diversity among customers.

Why we don't have robot butlers yet

Explainable AI for systems with functional safety requirements


Application of the ALTAI tool to power grids, railway network and air traffic management



Towards functional safety management for AI-based critical systems

