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UBITECH kicks-off HumAIne Research and Innovation Action on Hybrid Human-AI Decision Support for Enhanced Human Empowerment in Dynamic Situations

UBITECH participates at the kick-off meeting hosted by GFT ITALIA SRL (November 6 & 7, 2023) in Milan, Italy of the HumAIne Research and Innovation Action, officially started on October 1st, 2023. The project is funded by the European Commission (Grant Agreement No. 101120218) and spans on the period October 2023 – September 2026. The HumAIne project 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.

In particular, 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.

Within HumAIne, UBITECH will provide technologies for injecting and managing securely the data needed for developing HumAIne’s analytical and collaborative AI systems. Moreover, UBITECH will implement and validate HumAIne results in the Energy sector, leveraging HumAIne’s Active Learning and developing collaborative AI models for hybrid decision support in power grids. To that end, UBITECH will utilize HumAIne’s Human-Centred Explainable AI (HC-XAI) models and Human Machine Interfaces (HMIs), undergoing multi-aspect evaluation by the HumAIne’s Benchmarking Suite.

For more info, please have a look at the HumAIne first press release.