

ISO/IEC 42005:2025 - AI system impact assessment
What is ISO/IEC 42005?

Information technology — Artificial intelligence — Artificial intelligence concepts and terminology
This document establishes terminology for AI and describes concepts in the field of AI.
This document can be used in the development of other standards and in support of communications among diverse, interested parties or stakeholders.

AI Standards & Assurance Roadmap
This AI Standards & Assurance Roadmap is a collaborative effort based on input from many stakeholders and experts from across the Irish AI community, including: Irish academia; multinational corporations and largescale information technology i

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.



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.

Automatic Checkerboard Corner Detection and Data Processing Tool



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