Project Details
Description
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.
| Acronym | HUMANE-AI-NET |
|---|---|
| Status | Finished |
| Effective start/end date | 1/09/20 → 31/08/24 |
Collaborative partners
- Umeå University
- University College London
- Ludwig Maximilian University of Munich
- Technische Universieit Delft
- University of Pisa
- University of Warsaw
- Deutsches Forschungszentrum Für Künstliche Intelligenz GmbH (lead)
- Consiglio Nazionale Delle Ricerche
- Start2 Group GmbH
- Aalto University
- The University of Kaiserslautern-Landau
Funding
- European Commission - H2020 - Collaborative Projects: €100,000.00
Keywords
- Human Centric AI
- Ethical AI
- Ubiquitous Computing
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Research output
- 5 Article
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Human-AI ecosystem with abrupt changes as a function of the composition
Contucci, P., Kertész, J. & Osabutey, G., May 2022, In: PLoS ONE. 17, 12 p., e0267310.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
Deep Learning Exploration of Agent-Based Social Network Model Parameters
Murase, Y., Jo, H. H., Török, J., Kertész, J. & Kaski, K., 29 Sep 2021, In: Frontiers in Big Data. 4, 12 p., 739081.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
Effect of algorithmic bias and network structure on coexistence, consensus, and polarization of opinions
Peralta, A. F., Neri, M., Kertész, J. & Iñiguez, G., Oct 2021, In: Physical Review E. 104, 4, A40.Research output: Contribution to journal › Article › peer-review