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Financement de l’UE (4 961 976 €) : Sécurité et confidentialité Innovations technologiques, algorithmes et apprentissage automatique Hor03/05/2021 Programme de recherche et d'innovation de l'UE « Horizon »
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Sécurité et confidentialité Innovations technologiques, algorithmes et apprentissage automatique
The SPATIAL (Security and Privacy Accountable Technology Innovations, Algorithms, and machine Learning) project seeks to address the challenges of black-box AI and data management in cybersecurity by designing and developing resilient accountable metrics, privacy-preserving methods, verification tools and system framework that will serve as critical building blocks to achieve trustworthy AI in security solutions. The main objectives include: 1) To develop systematic verification and validation software/hardware mechanisms that ensure AI transparency and explainability in security solution development; 2) To develop system solutions, platforms, and standards that enhance resilience in the training and deployment of AI in decentralized, uncontrolled environments; 3) To define effective and practical adoption and adaptation guidelines to ensure streamlined implementation of trustworthy AI solutions; 4) To create an educational modules that provide technical skills, ethical and socio-legal awareness to current and future AI engineers/developers to ensure the accountable development of security solutions; 5) To develop a communication framework that enables accountable and transparent understanding of AI applications for users, software developers and security service providers. Besides technical measures, SPATIAL project aims to facilitate generating appropriate skills and education for AI security to strike a balance among technological complexity, societal complexity and value conflicts in AI deployment. The project covers data privacy, resilience engineering, and legal-ethical accountability that are in line with EU top agenda to achieve trustworthy AI. In addition, the work carried out in SPATIAL on both social and technical aspects will serve as a stepping stone to establish an appropriate governance and regulatory framework for AI-driven security in Europe.
| Australo Interinnov Marketing LAB SL | 350 000 € |
| Erasmus Universiteit Rotterdam | 351 938 € |
| FRAUNHOFER GESELLSCHAFT ZUR FORDERUNG DER ANGEWANDTEN FORSCHUNG e. V. | 501 900 € |
| MINNA LEARNING Oy | 133 063 € |
| 320 000 € | |
| Montimage Eurl | 320 000 € |
| NEC LABORATORIES EUROPE GmbH | 470 664 € |
| REAKTOR INNOVATIONS Oy | 0,00 € |
| Tartu Ulikool | 375 075 € |
| Technische Universiteit Delft | 833 500 € |
| Telefonica Innovacion Digital SL | 502 788 € |
| UNIVERSITY COLLEGE DUBLIN, NATIONAL UNIVERSITY OF IRELAND, DUBLIN | 402 800 € |
| WITHSECURE Oyj | 400 250 € |
https://cordis.europa.eu/project/id/101021808
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