Displaying 40 resources

Exploring AI Technologies from Ethics to Trust (ENFIELD educational material)

The 2024 ENFIELD webinar was organized in the framework of the Horizon Project ENFIELD, having taken place online on November 15, 2024. The objective of the webinar was to discuss the critical landscape of AI ethics and trust. During the webinar, 8 p
Category
Reasoning and decision-making Technologies, ai core modules
Source
AI-OnDemand
Case studies Case studies
White paper White paper
Other Other

Loremipsum-TEST

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Category
Data and AI Platforms, Cooperation with partners, Sensing and processing methods
Target audience
Other, Private Sector, Researchers and Academic
Source
Adra-e
Seminar Seminar
Tutorial/How To/Guides Tutorial/How To/Guides
White paper White paper

Oratione

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Category
Sandboxes and Testbeds, Reasoning and decision-making Technologies, Technology methodologies and landscape
Target audience
Individual Citizens/Members of the Society, Private Sector, Public Sector
Source
Adra-e
Video/Webinars Video/Webinars

Webinar Towards Transparent, Safe and Trustworthy AI for critical infrastructures

This webinar focuses on the development of safe, explainable, and algorithmically transparent methods as part of the AI4REALNET project.

Category
Action and Interaction Technologies, Data for AI, Reasoning and decision-making Technologies, Sensing and perception technologies, Systems, methodologies, hardware, and tools
Target audience
ADR Experts and Associations, Policy Makers, Private Sector, Public Sector, Researchers and Academic
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. The What-If Tool (WIT) provides an easy-to-use interface for expanding understanding of a black-box classification or regression ML model.
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