Project description
A future where human-AI collaboration takes centre stage
Can humans and artificial intelligence (AI) work together in ever-changing, unstructured environments? This is a critical question in a world where AI plays a vital role in decision-making. In this context, the EU-funded HumAIne project will create an operating system for human-AI collaboration. The aim is to empower the development of advanced decision-making applications across various industrial sectors. This will enable AI solution integrators to create collaborative systems that outperform isolated AI systems and human efforts. The project will integrate four essential components: active learning, neuro-symbolic learning, swarm learning and explainable AI. These cutting-edge paradigms place the human operator at the centre, offering complete control and understanding of the operations performed, and ensuring seamless collaboration between humans and AI.
Objective
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.
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HORIZON-RIA - HORIZON Research and Innovation ActionsCoordinator
20139 Milano
Italy
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Participants (16)
49527 Petach Tikva
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16152 Genova
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185 33 PIRAEUS
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1000 Ljubljana
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Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure.
1210 Ljubljana
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67663 Kaiserslautern
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9712CP Groningen
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176 71 ATHINA
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1000 Sofia
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
28223 POZUELO DE ALARCON MADRID
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
1080 Bruxelles / Brussel
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
1200 Bruxelles / Brussel
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
1101 Lefkosia
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
8500-794 Portimao
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
1600-598 LISBOA
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
46001 VALENCIA
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
Partners (1)
EC3N 1AL London
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.