Displaying 6 resources
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
Other Other

Report on meta-analysis on externalities of acceptability and trustworthiness of ADR

This Adra-e deliverable presents an analysis of the externalities surrounding acceptability and trustworthiness in ADR-supported innovative technologies.

Category
Multistakeholder dialogue, Support guidance in the responsible implementation of ADR, Trustworthiness
Target audience
ADR Experts and Associations, Individual Citizens/Members of the Society, Policy Makers, Private Sector, Public Sector, Researchers and Academic
Source
Adra-e

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.

Category
Data sharing and Data spaces
Target audience
ADR Experts and Associations, Policy Makers, Private Sector, Public Sector, Researchers and Academic
Source
Adra-e
Software resources Software resources

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.

Category
Data sharing and Data spaces
Target audience
Individual Citizens/Members of the Society, Policy Makers, Private Sector, Public Sector, Researchers and Academic
Source
Adra-e
Video/Webinars Video/Webinars

SAFEXPLAIN Introduction to Trustworthy AI for Safety-Critical Systems

This introductory video provides an overview of the steps taken by the SAFEXPLAIN project to ensure that the AI-based solutions used in safety-critical systems are Trustworthy, explainable and comply with the safety guidelines of diverse industria

Category
Data flow standards, Certification and Compliance, Trustworthiness
Target audience
Individual Citizens/Members of the Society, Policy Makers, Private Sector
Source
Adra-e