HumaneAI

HumaneAI

The vision of European artificial intelligence

HumaneAI

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.

Project description

The HumanE-AI Network 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.

HumaneAI

It follows five major streams:

  • Human-in-the-Loop Machine Learning, Reasoning, and Planning
  • Multimodal Perception and Modelling
  • Human AI Interaction and Collaboration
  • Societal AI
  • AI Ethics, Law and Responsible AI

We will make the results of the research available to the European AI community through the AI4EU platformand a Virtual Laboratory, develop a series of summer schools, tutorials and Massive Open Online Courses (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.

Research contribution

 Core innovations should include:

  • Tools for enhancing human cognitive capabilities, channeling human creativity, inventiveness and intuition and empowering humans to make important decisions in a more informed way
  • AI systems that can intelligently interact within complex social settings and operative in open-ended environments
  • Enabling technologies for explainable, transparent, validated and trustworthy AI systems and
  • New approaches to embed value based ethics and European Cultural, Legal and social values as core design considerations in all AI systems and applications.

Funding

EU ict-48-2020

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 761758.

Project duration

01.09.2020 - 31.08.2024

Dr. Yuanting Liu

Your contact

Dr. Yuanting Liu

+49 89 3603522 427
liu@fortiss.org

More information

Project partner

Publications

  • 2022 Connected vehicle simulation framework for parking occupancy prediction (demo paper) Pierpaolo Resce , Lukas Vorwerk , Zhiwei Han , Giuliano Cornacchia , Omid Isfahani Alamdari , Mirco Nanni , Luca Pappalardo , Daniel Weimer and Yuanting Liu In SIGSPATIAL '22: Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022. ACM. Details URL DOI BIB
  • 2021 Forward Reasoning Decision Support: Toward a More Complete View of the Human-AI Interaction Design Space Zelun Tony Zhang , Yuanting Liu and Heinrich Hußmann In CHItaly '21: 14th Biannual Conference of the Italian SIGCHI Chapter, pages 18:1-18:5, 2021. Details DOI BIB