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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 manageme

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 operators t
Bus Violence: a large-scale benchmark for video violence detection in public transport
The Bus Violence dataset is a large-scale collection of videos depicting violent and non-violent situations in public transport environments.

100-Driver: A Large-scale, Diverse Dataset for Distracted Driver Classification
A large-scale, diverse posture-based distracted diver dataset, with more than 470K images taken by 4 cameras observing 100 drivers over 79 hours from 5 vehicles.
We provide a detailed analysis of 100-Driver and present 4 settings for investigating p

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.

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.