HumAIne will research, develop, validate and promote a novel operating system for Human-AI collaboration, which will enable the development of advanced decision making applications in dynamic, unstructured environments in different industrial sectors. The HumAIne OS will empower AI solution integrators to implement Human-AI collaboration systems that outperform AI systems and humans when working in isolation. HumAIne’s developments will be integrated into a single OS platform, which will coordinate four interwind components offering Active Learning (AL), Neuro-Symbolic Learning, Swarm Learning (SL) as well eXplainable AI (XAI) capabilities. These advanced AI paradigms are ideal for exploiting true Human-AI collaboration since, in each of them, the worker is the key actor with complete control and understanding of the performed operations. AL enables the development of effective Human-in-the-Loop systems that involve humans when AI faces increased uncertainty. Neuro-Symbolic Learning combines DL with semantics and rules to complete highly complex tasks with high accuracy while requiring considerably less training data than current AI models. Advanced XAI models will be made available, providing explanations of models’ predictions while considering the global context instead of just analysing the feature importance of a single AI model. HumAIne’s XAI will provide guidance to humans to enable the timely optimisation of AL and SL models where human participants provide feedback dynamically as well as fine-tuning of Neuro-Symbolic models. The platform will handle various types of structured and unstructured data, including inputs from humans that will be semantically correlated through ontologies, knowledge graphs, and semantic interoperability. HumAIne will complement its platform with complementary resources (e.g., training) and will be build a vibrant community of interested parties around it, to drive exploitation and wider use of the project's results.

XR5.0 will build, demonstrate, and validate a novel Person-Centric and AI-based XR paradigm that will be tailored to the requirements and nature of I5.0 applications. In this direction, the project will specify structuring principles and blueprints for using XR in I5.0 applications with emphasis on the development of innovative “XR-made-in-Europe” technology that blends with human-centric manufacturing technologies and adheres to European values. The XR5.0 applications will consider the characteristics and context of the worker based on the integration of human-centred digital twins (DTs) that comprise the “digital image” of the worker. At the same time, XR5.0 will design and implement a unique blending of XR technology and advanced AI paradigms, including AI technologies that foster the interplay between humans and AI such as explainable AI (XAI), Active Learning (AL), Generative AI (GenAI), and neurosymbolic learning. The XR5.0 technologies will be coupled with a cloud-based XR training platform for Operator 5.0 applications, which will enable ergonomic and personalized training of industrial workers on popular processes. The XR5.0 paradigm will empower the development of six (6) novel high-TRL pilot applications spanning the areas of AI-based product design, remote and intelligent maintenance of assets, workers’ training, support in product assembly, as well as guidance and instructions for troubleshooting. These applications will be demonstrated in realistic manufacturing environments. Moreover, they will be integrated to the EU XR platform to be developed as part of the call. Most importantly, XR5.0 will build a vibrant community of interested stakeholders around the project’s outcomes. This community will provide a basis for the sustainability and wider uptake of the project’s results towards maximising the impact of the project’s use cases. In this direction, all XR5.0 technologies will be high TRL>=7-8 and ready for immediate commercialisation.