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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.

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Roadmaps and Agendas for Research and Innovation in Artificial Intelligence, Data, and Robotics

  • 章节

  • 出版模式：

    开放获取

  • 发表日期：

    2026年

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  • Paulo Figueiras,
  • Giorgos Ioannou,
  • Charalambos Lambri,
  • Sangheeta Reji,
  • Elena Mossali,
  • Martina Imarisio Neviani,
  • Sotiris Koussouris,
  • Nefeli Bountouni,
  • Marina Da Bormida in Cugurra,
  • Robert Hellbach,
  • Dimitris Bibikas,
  • Philip O’Brien,
  • Carlos Agostinho,
  • Ricardo Jardim-Gonçalves

摘要

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.