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Report on meta-analysis on externalities of acceptability and trustworthiness of ADR

This Adra-e deliverable presents an analysis of the externalities surrounding acceptability and trustworthiness in ADR-supported innovative technologies.

Category
Multistakeholder dialogue, Support guidance in the responsible implementation of ADR, Trustworthiness
Target audience
ADR Experts and Associations, Individual Citizens/Members of the Society, Policy Makers, Private Sector, Public Sector, Researchers and Academic
Source
Adra-e
Tutorial/How To/Guides Tutorial/How To/Guides

OzoBot

Ozobot is redefining the role of robotics in education with our award-winning coding robots and STEAM-based learning solutions.

Category
Sensing and processing methods
Target audience
Individual Citizens/Members of the Society, Researchers and Academic
Source
Adra-e
Tutorial/How To/Guides Tutorial/How To/Guides

Designing a Rights-Based Global Index on Responsible AI

A frameworks have been developed that set out core ethical principles to be upheld as the technology is designed, developed, used, and evaluated.

Category
Multistakeholder dialogue
Target audience
Individual Citizens/Members of the Society
Source
Adra-e
Tutorial/How To/Guides Tutorial/How To/Guides

Designing a Rights-Based Global Index on Responsible AI

A frameworks have been developed that set out core ethical principles to be upheld as the technology is designed, developed, used, and evaluated.

Category
Fundamental Rights, Principles, and Values, Multistakeholder dialogue, Support guidance in the responsible implementation of ADR, Understanding of the fundamental rights and values
Target audience
Individual Citizens/Members of the Society
Source
Adra-e
Online Course Online Course

AI in Middle School Science Topics

Any instance where there is a large amount of data to be examined or processed that would take a lot of time for a person to examine, AI can do it and not get distracted, fatigued, or bored. This makes it a helpful tool for scientists to use.

Category
Sensing and processing methods, Architecture of sensing and perception systems, Meta-data contexts
Target audience
Individual Citizens/Members of the Society, Private Sector, Public Sector, Researchers and Academic
Source
Adra-e