Displaying 49 resources
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
Software resources Software resources

AI4Experiments platform

The AI4Experiments platform is an open space for AI developers. The platform offers visual and intuitive design methods. It facilitates the creation of human-centered AI-solutions, building modular structures and using hybrid AI technologies.

Category
Technology methodologies and landscape
Target audience
Individual Citizens/Members of the Society, Private Sector, Researchers and Academic
Source
Adra-e
Tutorial/How To/Guides Tutorial/How To/Guides

I-AR project

The project aimed to implement fair automatic recognition by offering guidance in policy development on an European and national level.

Category
Best practices in deployment
Target audience
Individual Citizens/Members of the Society, Policy Makers, Researchers and Academic
Source
Adra-e
Software resources Software resources

The Global AI Vibrancy Tool

The Global AI Vibrancy Tool is an interactive visualization that allows cross-country comparison for up to 29 countries across 23 indicators.

Category
Support tools
Target audience
Policy Makers
Source
Adra-e
Case studies Case studies

2023 AI Index Report

The AI Index is an independent initiative at the Stanford Institute for Human-Centered Artificial Intelligence (HAI), led by the AI Index Steering Committee, an interdisciplinary group of experts from across academia and industry.

Category
Support tools
Target audience
Policy Makers
Source
Adra-e
Professional development resources for teachers/educators Professional development resources for teachers/educators

Gender Diversity in AI Research

The existing evidence base about gender diversity in the AI workforce is, however, not without its limitations: It is mostly based on small samples that although highly relevant (technology industry workforce, papers presented in prestigious confe

Category
Support tools
Target audience
ADR Experts and Associations, Individual Citizens/Members of the Society, Policy Makers, Private Sector, Public Sector, Researchers and Academic
Source
Adra-e