Upcoming Computing & AI Engineering
Exchange of best practices in Collaborative Intelligence for Safety Critical applications
Summary
Original abstract (not yet simplified)ExCISC – Exchange of Best Practices in Collaborative Intelligence for Safety-Critical Applications responds to the EU’s strategic agenda to strengthen Europe’s leadership in AI by promoting ethical, inclusive, and human-centric innovation. Aligned with the Industry 5.0 vision and the 2024 Trustworthy AI policy framework, ExCISC addresses the urgent need for interdisciplinary collaboration to develop AI systems that enhance—not replace—human decision-making...
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ExCISC – Exchange of Best Practices in Collaborative Intelligence for Safety-Critical Applications responds to the EU’s strategic agenda to strengthen Europe’s leadership in AI by promoting ethical, inclusive, and human-centric innovation. Aligned with the Industry 5.0 vision and the 2024 Trustworthy AI policy framework, ExCISC addresses the urgent need for interdisciplinary collaboration to develop AI systems that enhance—not replace—human decision-making in safety-critical domains. Building on the successful CISC MSCA ITN, which trained 14 Collaborative Intelligence Scientists and produced over 100 publications, ExCISC will expand this foundation through structured international, intersectoral, and interdisciplinary staff exchanges.The project focuses on real-world deployment of collaborative intelligence in industrial environments, integrating AI, robotics, human factors, neuroergonomics, system safety, cybersecurity, and ethical/legal expertise. It will demonstrate how adaptive automation, explainable AI, and human-in-the-loop ecosystems can improve operational transparency, safety, and performance. Live Labs will serve as experimental platforms to test new paradigms of human-machine collaboration, ensuring situational awareness and resilience in high-risk settings.ExCISC tackles key challenges such as the opacity of AI systems, unrealistic expectations of human intervention in automation failures, and the need for interpretable and interoperable solutions. By fostering a network of researchers and practitioners, the project will advance trustworthy AI methodologies and contribute to Europe’s vision of responsible, human-centric technological leadership.
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