

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.

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.

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

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