Advancing Climate Justice through Green AI: Insights from the Climate Justice Forum

The Awareness Movement (AWM), a partner of the RAIDO Project, works to promote sustainable development and strengthen the connection between technological innovation, environmental sustainability, and civil society. Within RAIDO, AWM contributes to connecting the project’s digital innovations with civil society, grassroots communities, and real-world environmental objectives. Recently, AWM Vice President, Mrs. Lanika Angelidou, represented the […]

Building Ethical AI Before Deployment: The RAIDO Ethics Helpdesk

When we talk about trustworthy artificial intelligence (AI), conversations often focus on making AI systems more transparent or explainable. But before we can explain how an AI system reaches its decisions, we first need to ensure it has been built on a strong ethical foundation. This is the principle behind ethics-by-design (Nurock et al., 2021): […]

RAIDO Piloting and Validation

Piloting and Validation activities are essential components of any technical project as a means to systematically verify that the designed solution meets functional, performance, and user requirements under realistic conditions. RAIDO dedicates Work Package 6 to the integration, demonstration and assessment of the project’s core platform. Netcompany SA, as a leading European IT solutions and […]

The RAIDO Data Lake: Enabling reliable and sustainable Artificial Intelligence

Modern Artificial Intelligence relies on data. As AI solutions become more sophisticated and are applied across different domains, managing datasets efficiently, securely, and sustainably becomes significantly important. This is exactly the challenge addressed by the RAIDO Data Lake, which serves as the central information management layer of the platform. The RAIDO Data Lake brings together […]

RAIDO Green AI Orchestration in TinyML: Towards Enabling Sustainable Innovation for Developing Countries

Artificial intelligence is often associated with massive data centers and energy-intensive computation. However, a new generation of lightweight and energy-efficient AI is emerging through TinyML — the deployment of machine learning models on ultra-low-power microcontrollers and embedded devices. Combined with AI orchestration, TinyML has the potential to democratize access to intelligent systems while supporting global […]

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

How the RAIDO project is automating data curation, annotation and federated mining to power trustworthy AI High-quality training data is the backbone of any reliable AI system. However, data preparation turns out to be the most challenging phase of the machine learning lifecycle in terms of required efforts and the likelihood of mistakes. According to […]