HumanE-AI-Net
HumanE-AI-Net

HumanE-AI-Net
HumanE-AI-Net
 : 
HumanE AI Network
HumanE AI Network

A Project coordinated by IIIA.

Web page:

Principal investigator: 

Collaborating organisations:

DEUTSCHES FORSCHUNGSZENTRUM FÜR KÜNSTLICHE INTELLIGENZ GMBH (Coordinator)

AALTO KORKEAKOULUSAATIO SR

AIRBUS DEFENCE AND SPACE SAS

Algebraic AI S.L.

ATHENA-EREVNITIKO KENTRO KAINOTOMIAS STIS TECHNOLOG...

[see more]

DEUTSCHES FORSCHUNGSZENTRUM FÜR KÜNSTLICHE INTELLIGENZ GMBH (Coordinator)

AALTO KORKEAKOULUSAATIO SR

AIRBUS DEFENCE AND SPACE SAS

Algebraic AI S.L.

ATHENA-EREVNITIKO KENTRO KAINOTOMIAS STIS TECHNOLOGIES TIS PLIROFORIAS, TON EPIKOINONION KAI TIS GNOSIS

VYSOKE UCENI TECHNICKE V BRNE

BARCELONA SUPERCOMPUTING CENTER - CENTRO NACIONAL DE SUPERCOMPUTACION

Közép-Európai Egyetem (CEU)

CONSIGLIO NAZIONALE DELLE RICERCHE

CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS

AGENCIA ESTATAL CONSEJO SUPERIOR DEINVESTIGACIONES CIENTIFICAS

UNIVERZITA KARLOVA

CONSORZIO INTERNUVIERSITARIO NAZIONALE INFORMATICA

EOTVOS LORAND TUDOMANYEGYETEM

EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH

FONDAZIONE BRUNO KESSLER

FORTISS GMBH

FRAUNHOFER GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V.

Generali Italia S.p.A.

GERMAN ENTREPRENEURSHIP GMBH

INESC TEC - INSTITUTO DE ENGENHARIADE SISTEMAS E COMPUTADORES, TECNOLOGIA E CIENCIA

ING GROEP NV

INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET AUTOMATIQUE

INSTITUTO SUPERIOR TECNICO

 INSTITUT JOZEF STEFAN

 KNOWLEDGE 4 ALL FOUNDATION LBG

 LUDWIG-MAXIMILIANS-UNIVERSITAET MUENCHEN

 OREBRO UNIVERSITY

 PHILIPS ELECTRONICS NEDERLAND B.V.

 SAP SE

 SORBONNE UNIVERSITE

 STICHTING VU

 THALES SIX GTS FRANCE SAS

 TELEFONICA INVESTIGACION Y DESARROLLO SA

 TILDE SIA

 TECHNISCHE UNIVERSITAT BERLIN

 TURKIYE BILIMSEL VE TEKNOLOJIK ARASTIRMA KURUMU

 TECHNISCHE UNIVERSITEIT DELFT

 TECHNISCHE UNIVERSITAET KAISERSLAUTERN

TECHNISCHE UNIVERSITAET WIEN

 UNIVERSITY COLLEGE CORK - NATIONAL UNIVERSITY OF IRELAND, CORK

 KOBENHAVNS UNIVERSITET

 UNIVERSITE GRENOBLE ALPES

 UNIVERSITEIT LEIDEN

 UMEÅ UNIVERSITET

 ALMA MATER STUDIORUM - UNIVERSITA DI BOLOGNA

 UNIVERSITA DI PISA

 UNIVERSITY COLLEGE LONDON

 UNIWERSYTET WARSZAWSKI

 THE UNIVERSITY OF SUSSEX

 UNIVERSIDAD POMPEU FABRA

 VRIJE UNIVERSTEIT BRUSSEL

 VOLKSWAGEN AG

Funding entity:

European Comission
European Comission

Funding call:

H2020-ICT-2019-3
H2020-ICT-2019-3

Funding call URL:

Project #:

952026
952026

Total funding amount:

11.996.875,00€
11.996.875,00€

IIIA funding amount:

100.000,00€
100.000,00€

Duration:

01/Sep/2020
01/Sep/2020
31/Aug/2023
31/Aug/2023

Extension date:

2030-01-01
2030-01-01

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.

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.

2023
Bjoern Komander,  Jesus Cerquides,  & Jaume Piera (2023). Developing and Validating Tools for the Automated Analysis and Enhancement of Online Discussions. HHAI 2023: Augmenting Human Intellect (pp 433--435). IOS Press. [BibTeX]  [PDF]
Georgios Athanasiou,  Josep Lluis Arcos,  & Jesus Cerquides (2023). Enhancing Medical Image Segmentation: Ground Truth Optimization through Evaluating Uncertainty in Expert Annotations. Mathematics, 11. https://doi.org/10.3390/math11173771. [BibTeX]  [PDF]
Bjoern Komander,  Jesus Cerquides,  Jaume Piera,  Jeffrey Chan,  & Azadeh Alavi (2023). Expert Finding for Citizen Science. Artificial Intelligence Research and Development (pp 59--69). IOS Press. https://doi.org/10.3233/FAIA230659. [BibTeX]  [PDF]
Rocco Ballester,  Yanis Labeyrie,  Oguz Mulayim,  Jose Luis Fernandez Marquez,  & Jesus Cerquides (2023). Mathematical and Computational Models for Crowdsourced Geolocation. Ismael Sanz, Raquel Ros, & Jordi Nin (Eds.), Frontiers in Artificial Intelligence and Applications, Vol. 375: Artificial Intelligence Research and Development (pp 301--310). IOS Press. https://doi.org/10.3233/FAIA230699. [BibTeX]  [PDF]
Hafiz Budi Firmansyah,  Jose Luis Fernandez-Marquez,  Jesus Cerquides,  & Giovanna Di Marzo Serugendo (2023). Single or Ensemble Model ? A Study on Social Media Images Classification in Disaster Response. The 10th Multidisciplinary International Social Networks Conference (pp. 48--54). Association for Computing Machinery. https://doi.org/10.1145/3624875.3624884. [BibTeX]  [PDF]
2022
Tomas Trescak,  Roger Xavier Lera Leri,  Filippo Bistaffa,  & Juan A. Rodríguez-Aguilar (2022). Agent-Assisted Life-Long Education and Learning. Proceedings of the 21st International Conference on Autonomous Agents and MultiAgent Systems . International Foundation for Autonomous Agents and Multiagent Systems. [BibTeX]  [PDF]
Athina Georgara,  Juan A. Rodríguez-Aguilar,  Carles Sierra,  Ornella Mich,  Raman Kazhamiakin,  Alessio P. Approsio,  & Jean-Christophe Pazzaglia (2022). An Anytime Heuristic Algorithm for Allocating Many Teams to Many Tasks. Proceedings of the 21st International Conference on Autonomous Agents and MultiAgent Systems . International Foundation for Autonomous Agents and Multiagent Systems. [BibTeX]  [PDF]
Athina Georgara,  Juan A. Rodríguez-Aguilar,  & Carles Sierra (2022). Building Contrastive Explanations for Multi-Agent Team Formation. Proceedings of the 21st International Conference on Autonomous Agents and MultiAgent Systems . International Foundation for Autonomous Agents and Multiagent Systems. [BibTeX]  [PDF]
Athina Georgara,  Juan A. Rodríguez-Aguilar,  & Carles Sierra (2022). Privacy-Aware Explanations for Team Formation. Proceedings of the 24th International Conference on Principles and Practice of Multi-Agent Systems . [BibTeX]  [PDF]
Roger Xavier Lera Leri,  Filippo Bistaffa,  Marc Serramia,  Maite López-Sánchez,  & Juan A. Rodríguez-Aguilar (2022). Towards Pluralistic Value Alignment: Aggregating Value Systems through ℓₚ-Regression. Proceedings of the 21st International Conference on Autonomous Agents and MultiAgent Systems . International Foundation for Autonomous Agents and Multiagent Systems. [BibTeX]  [PDF]
2021
Jesus Cerquides,  Oguz Mulayim,  Jeronimo Hernandez-Gonzalez,  Amudha Ravi Shankar,  & Jose Luis Fernandez Marquez (2021). A Conceptual Probabilistic Framework for Annotation Aggregation of Citizen Science Data. Mathematics, 9. https://doi.org/10.3390/math9080875. [BibTeX]  [PDF]
Jesus Cerquides (2021). A First Approach to Closeness Distributions. Mathematics, 9. https://doi.org/10.3390/math9233112. [BibTeX]  [PDF]
Borja Sánchez-López,  & Jesus Cerquides (2021). On the Convergence of Stochastic Process Convergence Proofs. Mathematics, 9. https://doi.org/10.3390/math9131470. [BibTeX]  [PDF]
Jesus Cerquides (2021). Parametrization invariant interpretation of priors and posteriors. arXiv:2105.08304 [cs, math, stat]. https://doi.org/http://arxiv.org/abs/2105.08304. [BibTeX]
2020
Jerónimo Hernández-González,  & Jesús Cerquides (2020). A Robust Solution to Variational Importance Sampling of Minimum Variance. Entropy, 22, 1405. https://doi.org/10.3390/e22121405. [BibTeX]  [PDF]
Jesus Cerquides
Scientific Researcher
Phone Ext. 431859

Ramon Lopez de Mantaras
Adjunct Professor Ad Honorem
Nardine Osman
Tenured Scientist
Phone Ext. 431826

Juan A. Rodríguez-Aguilar
Research Professor
Phone Ext. 431861

Carles Sierra
Research Professor
Phone Ext. 431801