Displaying 16 resources
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Communication and dissemination monitoring phase 1

This is deliverable 5.3 of the AI4REALNET project. This document provides an overview of the work developed so far in terms of communication and dissemination activities of the project, analysing the communication and the dissemination plans.

Category
Other
Target audience
ADR Experts and Associations, Individual Citizens/Members of the Society, professionals, Researchers and Academic
Source
Adra-e
Other Other

Exploitation plan and strategy phase 2

This is deliverable 5.4 of the AI4REALNET project. This document outlines how AI4REALNET’s results will be brought to market, ensuring widespread adoption, long-term sustainability, and maximising the potential for project perpetuation.

Category
Other
Target audience
ADR Experts and Associations, Individual Citizens/Members of the Society, Policy Makers, Private Sector, professionals, Public Sector, Researchers and Academic
Source
Adra-e
Seminar Seminar
Tutorial/How To/Guides Tutorial/How To/Guides
White paper White paper

Oratione

Quae cum dixisset, finem ille. Quamquam non negatis nos intellegere quid sit voluptas, sed quid ille dicat. Progredientibus autem aetatibus sensim tardeve potius quasi nosmet ipsos cognoscimus. Gloriosa ostentatio in constituendo summo bono.

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
Software resources Software resources
Tutorial/How To/Guides Tutorial/How To/Guides

AI Fairness 360 (AIF360)

A GitHub repository for AIF360. The AI Fairness 360 toolkit is an extensible open-source library containing techniques developed by the research community to help detect and mitigate bias in machine learning models throughout the AI application lifec
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. 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
Other, Researchers and Academic
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
Other, Researchers and Academic
Source
Adra-e