Displaying 63 resources
Software resources Software resources
Tutorial/How To/Guides Tutorial/How To/Guides

AI Fairness 360 (AIF360)

A GitHub repository for AIF360.

Category
Other
Target audience
Other
Source
Adra-e
Software resources Software resources
Tutorial/How To/Guides Tutorial/How To/Guides

What-If Tool

A GitHub repository for the What-If Tool.

Category
Reasoning and decision-making Technologies, Other
Target audience
Researchers and Academic, Other
Source
Adra-e
Software resources Software resources
Tutorial/How To/Guides Tutorial/How To/Guides

Fairlearn

Fairlearn is an open-source, community-driven project to help data scientists improve fairness of AI systems.

Category
Data for AI, Reasoning and decision-making Technologies, Other
Target audience
Researchers and Academic, Other
Source
Adra-e
Video/Webinars Video/Webinars

Webinar "Industry-driven Use Cases"

AI4REALNET project covers the perspective of AI-based solutions addressing critical systems (electricity, railway, and air traffic control), modelled by networks that can be simulated and traditionally operated by humans and where AI complements a

Category
Action and Interaction Technologies, Data for AI, Experiment and Deployment, Reasoning and decision-making Technologies, Systems, methodologies, hardware, and 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
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