
Abstract Artificial intelligence (AI), data, and robotics are transformative technologies that drive innovation across industries and address critical societal challenges. This chapter outlines priority areas, including data processing for AI, synthetic data generation, autonomous systems, human-centric robotics, and explainable, science-guided, and adaptive AI, just to name a few. It emphasizes the need for robust frameworks to ensure ethical AI development, addressing concerns around bias, fairness, and accountability. The roadmaps and agendas will highlight cross-disciplinary collaboration, leveraging synergies among AI, big data analytics, and robotics. This chapter advocates foundational research in adaptive, explainable, science-guided AI while emphasizing applied research for real-world deployment. It provides a strategic vision to align public and private sector investments, strengthen Europe’s global competitiveness, and promote trust and inclusivity in AI, data, and robotics technologies.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
