
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.

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.

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.

Why we don't have robot butlers yet

Adaptable robots, ethics, and trust: a qualitative and philosophical exploration of the individual experience of trustworthy AI

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.


AI for Education
Offers a comprehensive library of free resources to help integrate Generative AI into educational settings.