A European AI On Demand Platform and Ecosystem

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AI4EU is the European Union’s landmark Artificial Intelligence project, which seeks to develop a European AI ecosystem, bringing together the knowledge, algorithms, tools and resources available and making it a compelling solution for users. Involving 80 partners, covering 21 countries, the €20m project kicked off in January 2019 and will run for three years. AI4EU will unify Europe’s Artificial Intelligence community. It will facilitate collective work in AI research, innovation and business in Europe. By sharing AI expertise, knowledge and tools with the Platform, AI4EU will make AI available to all.

GOALS
Mobilize the entire European AI community to make AI promises real for European Society and Economy
Create a leading collaborative AI European platform to nurture economic growth.

To achieve these goals, the project includes a diverse set of tasks and an ambitious set of activities.

• Create Europe’s leading AI On-Demand-Platform that is open and sustainable

• Bring stakeholders together through high-profile conferences and virtual events

• Develop a relevant, comprehensive and stimulating Strategic Agenda for European AI

• Establish an Ethics Observatory to ensure development of human-centred AI

• Roll out of €3m in Cascade Funding

AI4EU will nurture more adequacy between business needs and research results and accelerate growth. It will help the European Community to become a global leader in both highly advanced and human-centred AI, promising cutting-edge breakthroughs in this pivotal technological arena.

Guidotti, R., and S. Ruggieri, "On The Stability of Interpretable Models", 2019 International Joint Conference on Neural Networks (IJCNN): IEEE, 2019.
Panigutti, C., R. Guidotti, A. Monreale, and D. Pedreschi, "Explaining multi-label black-box classifiers for health applications", International Workshop on Health Intelligence: Springer, 2019.
Guidotti, R., A. Monreale, and L. Cariaggi, "Investigating Neighborhood Generation Methods for Explanations of Obscure Image Classifiers", Pacific-Asia Conference on Knowledge Discovery and Data Mining: Springer, 2019.
Guidotti, R., and S. Ruggieri, "On The Stability of Interpretable Models", 2019 International Joint Conference on Neural Networks (IJCNN): IEEE, 2019.
Guidotti, R., A. Monreale, and D. Pedreschi, "The AI black box Explanation Problem", ERCIM NEWS, no. 116, pp. 12–13, 2019.
Guidotti, R., A. Monreale, S. Ruggieri, F. Turini, F. Giannotti, and D. Pedreschi, "A survey of methods for explaining black box models", ACM computing surveys (CSUR), vol. 51, no. 5, pp. 93, 2018.
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Acronym
AI4EU
Code
825619
Web Site
Start Date
1 January 2019
End Date
31 December 2021
Funded
Type
Area
Affiliation
Istituto di Scienza e Tecnologie dell’Informazione, National Research Council of Italy (ISTI-CNR)