Displaying 43 resources
Certification Certification
Tutorial/How To/Guides Tutorial/How To/Guides

ISO/IEC 42005:2025 - AI system impact assessment

What is ISO/IEC 42005?

Category
Standards
Target audience
ADR Experts and Associations, Policy Makers, Private Sector, Public Sector, Researchers and Academic
Source
Adra-e
Tutorial/How To/Guides Tutorial/How To/Guides

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.

Category
Standards
Target audience
ADR Experts and Associations, Policy Makers, Private Sector, Public Sector, Researchers and Academic
Source
Adra-e
Article/Books/eBooks Article/Books/eBooks

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

Category
Standards
Target audience
ADR Experts and Associations, Policy Makers, Private Sector, Public Sector, Researchers and Academic
Source
Adra-e
Online Course Online Course

Certificate in Ethical Artificial Intelligence (AI)

Why study this course?

Category
Support guidance in the responsible implementation of ADR, Understanding of the fundamental rights and values, Certification and Compliance
Target audience
ADR Experts and Associations, Private Sector, Researchers and Academic
Source
Adra-e
Certification Certification

VCIO based description of systems for AI trustworthiness characterisation

This VDE SPEC provides a way to describe certain socio-technical characteristics of systems and applications that incorporate artificial intelligence techniques and methods.
Category
Support guidance in the responsible implementation of ADR, Understanding of the fundamental rights and values, Best practices in deployment, Certification and Compliance, Legal framework and regulation, Standards, Trustworthiness
Target audience
ADR Experts and Associations, Private Sector, Researchers and Academic
Source
Adra-e
Certification Certification

Z-Inspection

Z-Inspection® is a methodology for assessing the trustworthiness of AI systems.

Category
Certification and Compliance
Target audience
ADR Experts and Associations, Private Sector, Researchers and Academic
Source
Adra-e
Article/Books/eBooks Article/Books/eBooks
Certification Certification
Professional development resources for teachers/educators 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.

Category
Support guidance in the responsible implementation of ADR, Understanding of the fundamental rights and values, Policy, Regulation, Certificates, and Standards, Best practices in deployment, Certification and Compliance, Legal framework and regulation, Recommendations towards policy changes, Standards, Trustworthiness
Target audience
ADR Experts and Associations, Private Sector, Researchers and Academic
Source
Adra-e
Article/Books/eBooks Article/Books/eBooks
Case studies Case studies
Professional development resources for teachers/educators Professional development resources for teachers/educators

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.

Category
Best practices in deployment
Target audience
ADR Experts and Associations, Individual Citizens/Members of the Society, Policy Makers, Private Sector, Public Sector, Researchers and Academic
Source
Adra-e
Article/Books/eBooks 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.

Category
Cooperation with partners, Multistakeholder dialogue, Support guidance in the responsible implementation of ADR, Understanding of the fundamental rights and values, Best practices in deployment, Legal framework and regulation, Recommendations towards policy changes, Standards, Trustworthiness
Target audience
ADR Experts and Associations, Policy Makers, Private Sector, Researchers and Academic
Source
Adra-e
Article/Books/eBooks Article/Books/eBooks
Professional development resources for teachers/educators 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.

Category
Multistakeholder dialogue, Support guidance in the responsible implementation of ADR, Understanding of the fundamental rights and values, Best practices in deployment, Legal framework and regulation, Trustworthiness
Target audience
ADR Experts and Associations, Policy Makers, Private Sector, Researchers and Academic
Source
Adra-e
Article/Books/eBooks Article/Books/eBooks

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.

Category
Edge-based AI, Architecture of sensing and perception systems
Target audience
Researchers and Academic
Source
Adra-e
Video/Webinars Video/Webinars

Why we don't have robot butlers yet

TedX talk by Ken Goldberg exploring the challenges of robot development.
Category
Experiment and Deployment, Sensing and perception technologies, Architecture of sensing and perception systems, Sensing and processing methods, Other
Target audience
ADR Experts and Associations, Individual Citizens/Members of the Society, Researchers and Academic
Source
Adra-e