Displaying 9 resources
Professional development resources for teachers/educators Professional development resources for teachers/educators

AI for Teachers

AI for Teachers is a website dedicated to supporting the integration of Artificial Intelligence knowledge throughout K-12 learning.

Category
Support guidance in the responsible implementation of ADR, Understanding of the fundamental rights and values, Trustworthiness
Target audience
Individual Citizens/Members of the Society
Source
Adra-e
Article/Books/eBooks Article/Books/eBooks

Don’t ask if AI is good or fair, ask how it shifts power

Opinion piece by Pratyusha Kalluri in Nature

Category
Support guidance in the responsible implementation of ADR, Understanding of the fundamental rights and values
Target audience
ADR Experts and Associations, Individual Citizens/Members of the Society, Policy Makers, Researchers and Academic
Source
Adra-e
Other Other

Is ethical AI possible?

An interview with Timnit Gebru, the founder of the Distributed AI Research Institute.

Category
Support guidance in the responsible implementation of ADR, Understanding of the fundamental rights and values
Target audience
ADR Experts and Associations, Individual Citizens/Members of the Society, Researchers and Academic
Source
Adra-e
Article/Books/eBooks Article/Books/eBooks

Pygmalion Displacement: When Humanising AI Dehumanises Women

Paper exploring the relationship between women and AI.

Category
Support guidance in the responsible implementation of ADR, Understanding of the fundamental rights and values
Target audience
ADR Experts and Associations, Researchers and Academic
Source
Adra-e
Other Other

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
Article/Books/eBooks Article/Books/eBooks

An overview of key trustworthiness attributes and KPIs for trusted ML-based systems engineering

When deployed, machine-learning (ML) adoption depends on its ability to actually deliver the expected service safely, and to meet user expectations in terms of quality and continuity of service.

Category
Support guidance in the responsible implementation of ADR
Target audience
ADR Experts and Associations, Policy Makers, Private Sector, Public Sector, Researchers and Academic
Source
Adra-e