Displaying 29 resources
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
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

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
Case studies Case studies
White paper White paper

Application of the ALTAI tool to power grids, railway network and air traffic management

Category
Recommendations towards policy changes, Policy, Regulation, Certificates, and Standards, Best practices in deployment, Certification and Compliance, Legal framework and regulation, Standards
Target audience
ADR Experts and Associations, Individual Citizens/Members of the Society, Policy Makers, Private Sector, Public Sector
Source
Adra-e
Case studies Case studies
White paper White paper

Holistic framework for AI in critical network infrastructures

Category
Action and Interaction Technologies, Systems, methodologies, hardware, and tools, Recommendations towards policy changes, Reasoning and decision-making Technologies, Policy, Regulation, Certificates, and Standards, Best practices in deployment, Certification and Compliance, Legal framework and regulation, Standards
Target audience
ADR Experts and Associations, Individual Citizens/Members of the Society, Policy Makers, Private Sector, Public Sector, Researchers and Academic
Source
Adra-e
Online Course Online Course

AI Academy

Video-based introduction to AI.
Category
Understanding of the fundamental rights and values
Target audience
Individual Citizens/Members of the Society, Private Sector
Source
Adra-e
Other Other

Shedding light on AI bias with real world examples

Opinion piece by IBM on bias and AI.
Category
Understanding of the fundamental rights and values
Target audience
Individual Citizens/Members of the Society, Private Sector, Public Sector
Source
Adra-e
Certification Certification
Online Course Online Course
Video/Webinars Video/Webinars

Towards functional safety management for AI-based critical systems

Category
Action and Interaction Technologies, Reasoning and decision-making Technologies, Policy, Regulation, Certificates, and Standards, Best practices in deployment, Certification and Compliance, Legal framework and regulation, Recommendations towards policy changes, Standards
Target audience
ADR Experts and Associations, Policy Makers, Private Sector, Public Sector, Researchers and Academic
Source
Adra-e
Case studies Case studies
White paper White paper

Position paper on AI for the operation of critical energy and mobility network infrastructures

Category
Action and Interaction Technologies, Systems, methodologies, hardware, and tools, Reasoning and decision-making Technologies, Policy, Regulation, Certificates, and Standards, Best practices in deployment, Certification and Compliance, Legal framework and regulation, Recommendations towards policy changes, 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

An overview of key trustworthiness attributes and KPIs for trusted ML-based systems engineering

When deployed, machine-learning (ML) adoption depends on its ability to actually deliver the expected service safely, and to meet user expectations in terms of quality and continuity of service.
Category
Support guidance in the responsible implementation of ADR
Target audience
ADR Experts and Associations, Policy Makers, Private Sector, Public Sector, Researchers and Academic
Source
Adra-e