Displaying 9 resources
Video/Webinars Video/Webinars

Why we don't have robot butlers yet

TedX talk by Ken Goldberg exploring the challenges of robot development.
Category
Experiment and Deployment, Sensing and perception technologies, Architecture of sensing and perception systems, Sensing and processing methods, Other
Target audience
ADR Experts and Associations, Individual Citizens/Members of the Society, Researchers and Academic
Source
Adra-e
Other Other

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
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