AI-DAPT Partners Contribute to the Recently Published ADRA Book
The European ecosystem on Artificial Intelligence, Data and Robotics (ADR) continues to grow through strong collaboration between research, industry and policy actors. In this context, several AI-DAPT partners have contributed with three chapters to the Open Access book promoted by the European Partnership on AI, Data and Robotics (ADRA), recently published.
The volume brings together leading experts to explore the foundations, transformations and future directions of AI, Data and Robotics in Europe. It reflects Europe’s ambition to develop value-driven and trustworthy AI systems aligned with societal needs and European principles.
AI-DAPT is pleased to see its consortium partners actively contributing across three complementary thematic areas that closely resonate with the project’s mission.
Trustworthiness through Human-in-the-Loop and Explainable AI
One contribution led by S&D focuses on the integration of Human-in-the-Loop (HITL) approaches with Explainable AI (XAI) techniques to strengthen AI trustworthiness.
For AI-DAPT, this is a cornerstone perspective. Adaptive systems must remain transparent, controllable and aligned with human oversight. As AI models evolve and adapt to changing environments, explainability and human supervision are essential to ensure accountability, reliability and regulatory compliance. This alignment reinforces AI-DAPT’s commitment to developing adaptable AI architectures that embed transparency and meaningful human control by design.
Hybrid Intelligence: Merging Scientific Knowledge and Machine Learning
A second chapter, led by Athena Research Center, explores Hybrid Intelligence, combining science-based models with data-driven Machine Learning approaches.
Hybrid AI enhances robustness and generalisation capacity, particularly in complex or high-stakes domains. Within AI-DAPT, this principle supports the development of adaptive systems that do not rely solely on black-box learning but integrate domain knowledge, structured reasoning and model constraints. Adaptation, therefore, becomes guided and resilient rather than purely reactive.
This methodological alignment strengthens the scientific foundation of AI-DAPT’s adaptive AI pipelines.
Shaping Europe’s ADR Research Agenda
A third contribution led by UNINOVA addresses forward-looking roadmaps and research agendas for AI, Data and Robotics.
Strategic reflection is essential to ensure long-term European competitiveness and responsible technological development. By contributing to these roadmaps, AI-DAPT partners participate in shaping future directions in adaptive AI, governance frameworks and trustworthy deployment models.
This dimension highlights AI-DAPT’s role not only as a research project, but as an active contributor to the broader European ADR ecosystem fostered by ADRA.
These collective contributions demonstrate how AI-DAPT partners are helping strengthen the scientific and strategic foundations of trustworthy and adaptive AI in Europe.
Through trustworthiness, hybrid intelligence and forward-looking research priorities, AI-DAPT continues to bridge foundational research with real-world adaptive deployment.
Further reading: Explore the ADRA Open Access book and chapters contributed by AI-DAPT partners:
Full Book:https://link.springer.com/book/10.1007/978-3-032-10561-5
Human-in-the-Loop & Explainable AI:https://link.springer.com/chapter/10.1007/978-3-032-10561-5_19
Hybrid Intelligence:https://link.springer.com/chapter/10.1007/978-3-032-10561-5_7
ADR Research Agenda & Roadmaps:https://link.springer.com/chapter/10.1007/978-3-032-10561-5_5