Displaying 6 resources
Case studies Case studies

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

This document presents the responses from industry (operators of critical infrastructures) to the Assessment List for Trustworthy AI (ALTAI) questionnaire for three domains and specific use cases: power grid, railway network, and air traffic manag

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

Holistic framework for AI in critical network infrastructures

This document establishes the main foundations of the AI4REALNET project, in particular, the following key outcomes: - The formal specification of domain-specific use cases (UCs), replicating real-world operating scenarios involving human operator

Category
Action and Interaction Technologies, Real-time context aware decision making, Policy, Regulation, Certificates, and Standards, Best practices in deployment, Legal framework and regulation, Recommendations towards policy changes, Reasoning and decision-making Technologies, Hybrid Decision Making, Trustworthiness, Systems, methodologies, hardware, and tools, Support tools, System architectures
Target audience
ADR Experts and Associations, Individual Citizens/Members of the Society, Policy Makers, Private Sector, Public Sector, Researchers and Academic
Source
Adra-e
White paper White paper

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

This position paper outlines AI4REALNET’s approach to applying AI in network infrastructure operations, translating application needs into algorithmic proposals for effective human-AI collaboration in decision-making processes.

Category
Action and Interaction Technologies, Real-time context aware decision making, Experiment and Deployment, Fundamental Rights, Principles, and Values, Multistakeholder dialogue, Policy, Regulation, Certificates, and Standards, Best practices in deployment, Reasoning and decision-making Technologies, Hybrid Decision Making, Reasoning Techniques, Trustworthiness, Systems, methodologies, hardware, and tools, Support tools, Technology methodologies and landscape
Target audience
ADR Experts and Associations, Policy Makers, Private Sector, Public Sector, Researchers and Academic
Source
Adra-e
Video/Webinars Video/Webinars

What is the environmental footprint of artificial intelligence?

AI-enabled technologies have huge potential to support positive climate action. As the use of AI increases, governments and policy makers need to understand AI’s environmental impacts so that they can make evidence-based decisions.

Category
Legal framework and regulation, Recommendations towards policy changes
Target audience
Policy Makers
Source
Adra-e
White paper White paper

OECD FRAMEWORK FOR THE CLASSIFICATION OF AI SYSTEMS

To help policy makers, regulators, legislators and others characterise AI systems deployed in specific contexts, the OECD has developed a user-friendly tool to evaluate AI systems from a policy perspective.

Category
Legal framework and regulation, Recommendations towards policy changes
Target audience
Policy Makers
Source
Adra-e
White paper White paper

Ensuring the Safety of Artificial Intelligence

The essays are some of our first steps towards an understanding of how to make today’s choices in ways that take the people of tomorrow seriously. This is not an easy undertaking.

Category
Legal framework and regulation, Recommendations towards policy changes, 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