HumanE AI Network

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The EU-funded HumanE-AI-Net project brings together leading European research centres, universities and industrial enterprises into a network of centres of excellence. Leading global artificial intelligence (AI) laboratories will collaborate with key players in areas, such as human-computer interaction, cognitive, social and complexity sciences. The project is looking forward to drive researchers out of their narrowly focused field and connect them with people exploring AI on a much wider scale. The challenge is to develop robust, trustworthy AI systems that can ‘understand’ humans, adapt to complex real-world environments and interact appropriately in complex social settings. HumanE-AI-Net will lay the foundations for designing the principles for a new science that will make AI based on European values and closer to Europeans.

The HumanE AI Net brings together top European research centers, universities and key industrial champions into a network of centers of excellence that goes beyond a narrow definition of AI and combines world leading AI competence with key players in related areas such as HCI, cognitive science, social sciences and complexity science. This is crucial to develop a truly Human Centric brand of European AI. We will leverage the synergies between the involved centers of excellence to develop the scientific foundations and technological breakthroughs needed to shape the AI revolution in a direction that is beneficial to humans both individually and societally, and adheres to European ethical values and social, cultural, legal, and political norms. The core challenge is the development of robust, trustworthy AI capable of what “understanding” humans, adapting to complex real-world environments, and appropriately interacting in complex social settings. The aim is to facilitate AI systems that enhance human capabilities and empower individuals and society as a whole while respecting human autonomy and self-determination. The HumanE AI Net project will engender the mobilization of a research landscape far beyond direct project funding, involve and engage European industry, reach out to relevant social stakeholders, and create a unique innovation ecosystem that provides a many fold return on investment for the European economy and society. We will make the results of the research available to the European AI community through the AI4EU platform and a Virtual Laboratory, develop a series of summer schools, tutorials and MOOCs to spread the knowledge, develop a dedicated innovation ecosystem for transforming research and innovation into an economic impact and value for society, establish an industrial Ph.D. program and involve key industrial players from sectors crucial to European economy in research agenda definition and results evaluation in relevant use cases.

Gambetta, D., G. Mauro, and L. Pappalardo, "Mobility Constraints in Segregation Models", Scientific Reports, vol. 13, pp. 12087, 2023.
Naretto, F., R. Pellungrini, F. Maria Nardini, and F. Giannotti, "Prediction and Explanation of Privacy Risk on Mobility Data with Neural Networks", ECML PKDD 2020 Workshops, Cham, Springer International Publishing, 2020//.

The new national PhD program in Artificial Intelligence is on the launchpad!

Premio Internazionale Tecnovisionarie® 2021

Il premio Le Tecnovisionarie 2021 sul tema Intelligenza Artificiale BigData è stato consegnato a Fosca Giannotti dalla Presidente del CNR con la seguente motivazione:

MALOTEC Seminar - Riccardo Guidotti: Evaluating Local Explanation Methods on Ground Truth 09/04/2021

Riccardo is an Assistant Professor at the Department of Computer Science, University of Pisa, and a member of the Knowledge Discovery and Data Mining Laboratory (KDDLab), a joint research group with the Information Science and Technology Institute

Web Site
Start Date
1 September 2020
End Date
31 August 2023
European Commission H2020
European Project
Department of Computer Science, University of Pisa (DI-UNIPI)
Istituto di Scienza e Tecnologie dell’Informazione, National Research Council of Italy (ISTI-CNR)