Artificial Intelligence (AI)

Artificial Intelligence is technology that enables computers and machines to simulate human intelligence and problem-solving capabilities. The contents of this page focus specifically on Artificial Intelligence in the context of data spaces and data sharing.

This page is still under construction, which means we are actively working on gathering more resources to list here. Missing something? Submit your initiative or knowledge!

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Data Spaces Support Centre (DSSC) & Strategic Stakeholder Forum (SSF)

This whitepaper explores the role of common European data spaces in fostering and accelerating the growth of trustworthy GenAI. This work was produced within the framework of the DSSC and its Network of Stakeholders (NoF), particularly the SSF, but also with several data spaces initiatives that are part of the Community of Practice (CoP) and several AI initiatives that are developing key infrastructures in Europe.

S. Rossello, R. Díaz Morales, L. Muñoz-González (2021)

This article investigates some of the data protection implications of an emerging privacy preserving machine learning technique, i.e. federated machine learning. First, it shortly describes how this technique works and focuses on some of the main security threats it faces. Second, it presents some of the ways in which this technique can facilitate compliance with certain principles of the General Data Protection Regulation as well as some of the challenges it may pose under the latter.

Netherlands AI Coalition (NL AIC)

This guide actively supports organisations with challenges regarding data sharing for AI applications. This guide focuses on the guidelines and building blocks to interconnect data spaces. 

Netherlands AI Coalition (NL AIC)

This guide actively supports organisations with challenges regarding data sharing for AI applications. In doing so, this guide focuses on the guidelines and building blocks for individual (sectoral, application-specific) AI data spaces.