TEAMING.AI Final Conference

Final Conference: Managing Human-AI Collaborations within Industry 5.0 Scenarios via Knowledge Graphs  

 A summary of TEAMING.AI project’s outcomes and lessons learned 

23/5/24, 09:00 – 16.00 CEST, online

This workshop will focus on knowledge graph-based technologies and approaches that enable the management of human intervention in AI-assisted manufacturing processes in Industry 5.0 under potentially changing conditions to maintain or improve the overall performance of the system. Whereas knowledge graphs-based systems are commonly based on a static view with their structure fixed at design time, the European project TEAMING.AI addresses the dynamic challenge of inline human-AI collaboration in industrial settings. In this context we discuss approaches and lessons learned, addressing general challenges like the modelling of domain expertise with particular focus on vertical knowledge integration, as well as challenges linked to an industrial knowledge graph of choice, such as its dynamic population and the late shaping of knowledge graph embeddings as the foundation of relational machine learning models which have emerged as an effective tool for exploiting graph-structured data to infer new insights. In addition, legal and ethical aspects are taken into account from the perspective of European AI law.