CORDIS · HumAIne
Hybrid Human-AI Decision Support for Enhanced Human Empowerment in Dynamic Situations
- Code
HumAIne- Programme
- HORIZON
- Call
HORIZON-CL4-2022-HUMAN-02-01- Status
- SIGNED
- Period
- 2023-10-01 – 2026-09-30
Official data · CORDIS · synced 2026-10-17 10:16 · official record
Participants
| Organisations | Role | Country | Grant |
|---|---|---|---|
| GFT ITALIA SRL | coordinator | IT | 725 000 € |
| INSTITUT JOZEF STEFAN | participant | SI | 838 375 € |
| UNIVERSITY OF PIRAEUS RESEARCH CENTER | participant | EL | 594 375 € |
| DEUTSCHES FORSCHUNGSZENTRUM FUR KUNSTLICHE INTELLIGENZ GMBH | participant | DE | 587 500 € |
| UBITECH ENERGY | participant | BE | 549 656 € |
| IBM ISRAEL - SCIENCE AND TECHNOLOGY LTD | participant | IL | 536 250 € |
| УНИВЕРСИТЕТ ГРЬОНИНГЕН | participant | NL | 535 000 € |
| INNOVATION SPRINT | participant | BE | 530 000 € |
| INNOV-ACTS LIMITED | participant | CY | 456 250 € |
| UNPARALLEL INNOVATION LDA | participant | PT | 430 000 € |
| LEANXCALE SL | participant | ES | 366 594 € |
| EBIT S.R.L. | participant | IT | 362 500 € |
| CHAROKOPEIO PANEPISTIMIO | participant | EL | 334 375 € |
| IMMERSIVELIVES LDA | participant | PT | 325 000 € |
| INNEUROPE INITIATIVE S.L. | participant | ES | 278 750 € |
| VILABS BG LTD | participant | BG | 208 750 € |
| QLECTOR, RAZVOJ CELOVITIH RESITEV ZA PAMETNE TOVARNE DOO | third party | SI | 0 € |
| NOVOVILLE LIMITED | associated partner | UK |
Description
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.
Official data · CORDIS · synced 2026-10-17 10:16 · official record · Licence: © European Union, CC BY 4.0 (Commission reuse policy).