Openfund

CORDIS · AIXPERT

An agentic, multi-layer, GenAI-powered backbone to make an AI system explainable, accountable, and transparent

Код
AIXPERT
Програма
HORIZON
Процедура
HORIZON-CL4-2024-HUMAN-03-02
Статус
SIGNED
Период
01.06.2025 – 31.05.2028
Обща стойност (целият консорциум)7 499 754 €
Принос на ЕС (целият консорциум)7 499 754 €
Принос на ЕС за българските участници67 906 €

Официални данни · CORDIS · синхронизирано 17.10.2026 10:16 · официален запис

Участници

ОрганизацииРоляДържаваБезвъзмездна помощ
ATHINA-EREVNITIKO KENTRO KAINOTOMIAS STIS TECHNOLOGIES TIS PLIROFORIAS, TON EPIKOINONION KAI TIS GNOSISкоординаторEL873 750 €
УНИВЕРСИТЕТ ГРЬОНИНГЕНучастникNL753 750 €
SORBONNE UNIVERSITEучастникFR631 875 €
BARCELONA SUPERCOMPUTING CENTER CENTRO NACIONAL DE SUPERCOMPUTACIONучастникES545 000 €
STICHTING AMSTERDAM UMCучастникNL507 629 €
D.TSAKALIDIS-G.DOMALIS OEучастникEL499 875 €
FURHAT ROBOTICS ABучастникSE490 625 €
UNIVERSITAT DE BARCELONAучастникES477 250 €
IOTAM INTERNET OF THINGS APPLICATIONS AND MULTI LAYER DEVELOPMENT LTDучастникCY414 875 €
KYKLOS LTDучастникUK411 562 €
PHILIPS CONSUMER LIFESTYLE BVучастникNL405 750 €
WORKABLE SOFTWARE SINGLE MEMBER PRIVATE COMPANYучастникEL383 750 €
INFINITIVITY DESIGN LABSучастникFR365 000 €
Vector Institute - Institut VecteurучастникCA341 562 €
HEXACORP GREECE MONOPROSOPI ANONYMI ETAIREIAучастникEL329 594 €
ALPHATHETA MUSIC BULGARIA EOODучастникBG67 906 €
CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRSтрета странаFR0 €
MARTEL GMBHасоцииран партньорCH

Описание

The AIXPERT project proposes a novel, comprehensive approach to developing explainable, accountable, and transparent AI systems. At its core, the project introduces an adaptable, situation-aware AI-agentic platform capable of encapsulating various AI models, regardless of their underlying architecture. This architecture-agnostic approach significantly enhances the trustworthiness of AI systems by providing a consistent framework for explainability and accountability across different model types. The project aims to address challenges in AI explainability, transparency, accountability, autonomy, and robustness by integrating multi-agent systems with multimodal foundation models and leveraging real-time human feedback. This integration enhances AI system trustworthiness and user-friendliness while maintaining flexibility in the choice of underlying AI models. The project will be implemented in a multi-layered architecture, with each layer focusing on specific aspects of AI interpretability and explainability: the Agent-World Interface Layer will define and coordinate AI agents, their situational awareness, and their interactions with real-world knowledge sources; the Dialogue Mediation Layer will control user-agent and agent-agent communications; and the Cognitive Foundation Layer will provide the base capabilities for the system based on explainable multimodal foundation models. The project will also focus on developing a framework for assessing AI trustworthiness, demonstrating the value of explainable AI through pilot demonstrations in healthcare, recruitment services, manufacturing, educational robotics, and creative industries, and ensuring the sustainability of its results. AIXPERT envisions delivering AI solutions that are not only transparent and ethical but also sustainable and adaptable to diverse user needs, ultimately fostering greater trust in AI across multiple industries and societal sectors.

Официални данни · CORDIS · синхронизирано 17.10.2026 10:16 · официален запис · Лиценз: © European Union, CC BY 4.0 (Commission reuse policy).