
VCIO based description of systems for AI trustworthiness characterisation



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.



IMPACT STORIES - from the TAILOR Network of Excellence Centres in AI
The TAILOR Impact Stories is a powerful demonstration of the collective achievements and spirit of the TAILOR network.

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.


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.

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

Automatic Checkerboard Corner Detection and Data Processing Tool

Visualizing the Future of Sensing and Perception in Autonomous Designs


Brisk Teaching: Free AI Tools for Teachers
A Chrome and Edge extension that assists teachers with curriculum development, feedback generation, and differentiation. Brisk ensures student-safe AI usage and provides real-time visibility into its application in classrooms.



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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.