RAIDO’s Vision aims to provide a comprehensive framework by offering a holistic solution.

RAIDO’s Vision aims to provide a comprehensive framework for Trustworthy and Green-AI by offering a holistic solution that covers all data and model-related aspects within an integrated platform. The platform will offer methods for automated data curation and enrichment, including Digital Twins and diffusion models, to ensure high-quality, representative, unbiased, and compliant training data for trustworthy AI model development. It will also provide an arsenal of data- and compute-efficient models and tools, including few- and zero-shot learning, dataset and model search, data and model distillation, and continual learning, for energy-efficient Green AI. Transparency, explainability, and soundness of optimized AI models and data handling processes will be ensured through various XAI methods, decentralized blockchain, feedback-based reinforcement learning, novel KPIs, and visualization techniques. A novel AI orchestrator will be introduced to optimize tasks and processes, reducing energy consumption and environmental footprint during mode development and deployment. RAIDO will also emphasize building dynamic interfaces to support appropriate AI paradigms. The integrated platform will be evaluated through four real-life demonstrators covering key application domains, such as smart grids, computer vision-based smart farming, healthcare, and robotics for bio-based composites, with notable societal and market impact.