Certification
VCIO based description of systems for AI trustworthiness characterisation
Certification
Z-Inspection
Z-Inspection® is a methodology for assessing the trustworthiness of AI systems.
Article/Books/eBooks
Certification
Professional development resources for teachers/educators
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.
Article/Books/eBooks
STRATEGIC RESEARCH & INNOVATION ROADMAP OF TRUSTWORTHY AI
This document is the first version of the Strategic Research and Innovation Roadmap of the TAILOR project, focussed on Trustworthy Artificial Intelligence through Learning, Optimization and Reasoning.
Article/Books/eBooks
Professional development resources for teachers/educators
Handbook of Trustworthy AI
The main goal of the Handbook of Trustworthy AI (HTAI) is to provide to non-experts, researchers and students, an overview of the problem related to the developing of ethical and trustworthy AI systems.
Article/Books/eBooks
Features Disentanglement for Explainable Convolutional Neural Networks
Explaining AI decisions in in critical sectors like healthcare, autonomous vehicles, and
environmental monitoring is crucial for ensuring safety, trust, and transparency.
Article/Books/eBooks
Adaptable robots, ethics, and trust: a qualitative and philosophical exploration of the individual experience of trustworthy AI
Video/Webinars
Explainable AI for systems with functional safety requirements
Certification
Online Course
Video/Webinars
Towards functional safety management for AI-based critical systems
Case studies
White paper