RAIDO MAY 2026 NEWSLETTER

This issue highlights RAIDO’s latest activities and technical progress in Trustworthy and Green AI, featuring participation in European Data Week 2026, advances in AI-ready data preparation, and the latest partner video presentation from Adrestia R&D (ADR).

RAIDO Showcases Trustworthy AI in Action at European Data Week 2026

The RAIDO project participated in European Data Week 2026, held on 5–6 May 2026, contributing to the expert session “When Data Pipelines Decide AI Trust and Efficiency: Theory and Practice”.

Organised together with several EU-funded initiatives under the European Commission’s “Efficient Trustworthy AI — Making the Best of Data” portfolio, the session explored how trustworthy and efficient AI systems can be developed through improved data quality, explainability, sustainability, and accountability mechanisms.

Representing the RAIDO consortium, Christos Vasilakis of Metamind Innovations (MINDS) presented the project’s four-pillar approach to trustworthy AI, highlighting RAIDO’s work on automated data curation, Green AI techniques, explainability frameworks, and blockchain-enabled accountability across distributed cloud-edge environments.

The presentation also featured RAIDO’s smart-grid pilot in Seville, Spain, demonstrating how the project supports efficient and human-centric AI deployment in real-world energy environments.

Read the full press release here.

Building Smarter Data Pipelines: How RAIDO Is Transforming AI-Ready Data PreparationWeek 2026

RAIDO continues advancing automated and trustworthy AI-ready data preparation through the development of its data curation pipeline, AutoAnnotate toolset, and Federated Data Mining (FDM) system.

The pipeline supports both image and time-series data, offering automated preprocessing, enrichment, annotation, feature engineering, and dataset distillation capabilities through reproducible Apache Airflow workflows.

One of the project’s major achievements is the AutoAnnotate framework, which significantly reduces annotation time while maintaining high accuracy levels. The tools are publicly available as open-source resources, reinforcing RAIDO’s commitment to open science and reproducible AI research.

These technologies are already being integrated across RAIDO’s pilot domains in energy, agriculture, and robotics, supporting the development of more efficient and trustworthy AI systems with lower computational and energy requirements.

Read the full blog post here.

Dive into RAIDO with ADRESTIA

The latest video on the RAIDO Project YouTube channel features Adrestia R&D (ADR) and its contribution to the development of trustworthy and energy-efficient AI solutions within the project.

Based in Heraklion, Crete, Greece, ADR contributes to RAIDO’s work on data enrichment, curation, and distillation, supporting improved data quality and reliability for AI model training and deployment.

The video highlights ADR’s role within the RAIDO data curation pipeline and demonstrates how these activities contribute to more efficient, transparent, and reliable AI-driven decision-making across the project’s pilot domains.

Watch the full video here.

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