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What is Hybrid Intelligence?
Hybrid Intelligence combines human creativity, ethics, and contextual understanding with AI’s scalability and efficiency. This collaboration enables solutions that neither could achieve alone.
The world stands at a crossroads. The AI-first narrative promises limitless speed and automation but risks eroding human meaning, agency, and creative sovereignty. Hybrid Intelligence offers another path.
It redefines progress as a partnership between human and artificial intelligence – uniting human imagination, judgment, and ethics with AI’s analytical reach and scalability.
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Society & Economy
How hybrid intelligence creates societal value
Grand Challenges
Societal challenge
Align hybrid intelligence with societal needs and sustainable value creation.
3
Organization
How organizations enable effective human–AI collaboration
Organizational challenge
Build organizations that enable and scale effective human–AI collaboration.
2
Workflow
How human and AI contributions are coordinated
Interface challenge
Design interfaces and interactions that support trust, transparency and joint performance.
1
Individual
How humans interact with and learn from AI
Educational challenge
Prepare individuals with the mindsets, skills and literacy for the age of hybrid intelligence.
These four levels are interdependent. Hybrid intelligence emerges when human and AI capabilities are deliberately coordinated across all levels to verifiably improve human judgment and create value.
Hybrid Intelligence Chatbot
The Hybrid Intelligence Manifesto
This manifesto is both a vision and a call to action: to build systems that amplify – not replace – human potential.
Against the illusion of autonomous superintelligence, it presents a Human Renaissance – where technology learns from us as much as we learn from it, and where sustainable value creation depends on our capacity to co-create wisely, not automate blindly.
It redefines progress as a partnership between human and artificial intelligence – uniting human imagination, judgment, and ethics with AI’s analytical reach and scalability.
A Multi-Level Socio-Technical Framework for Keeping Human Judgement Economically Valuable
Co-authors
Jacob Sherson
Prof.
Aarhus University
Janet Rafner
Assist. Prof.
Aarhus University
Ana Alina Tudoran
Assoc. Prof.
Aarhus University
Adam Green
Prof.
Georgetown University
Blerim Emruli
Assist. Prof.
Lund University
Roni Reiter-Palmon
Prof.
University of Nebraska at Omaha
Anna B. Holm
Assoc. Prof.
Aarhus University
Mariola Pytliková
Assoc. Prof.
Charles University Prague
Adam Gordon
Assoc. Prof.
Aarhus University
Adam Green
Prof. of Psychology
Georgetown University
Jens Christian Bjerring
Prof.
Aarhus University
Izabela Lebuda
Assoc. Prof.
University of Wrocław
Maceo Gonzalez
Engineering Intern
Aarhus University
Stephanie Tan
Assist. Prof.
Delft University of Technology
Magnus Lodefalk
Assoc. Prof.
Örebro University
Mette Præst Knudsen
Prof.
University of Southern Denmark
Henry Sauermann
Prof.
ESMT Berlin
Yaoli Mao
Principal Experience Researcher
Autodesk
Jesper Broberg Bang
CEO
Gejst Studio
Matthias Sōllner
Prof.
University of Kassel
Marcus Wagner
Prof.
Augsburg University
Ilaria Tiddi
Assoc. Prof.
Vrije Universiteit Amsterdam
Aleks Berditchevskaia
Principal Researcher
Nesta Center for Collective Intelligence Design
Rasmus Linnet
Head of AI & Data Analytics
Bagger-Sørensen
Steve DiPaola
Prof.
Simon Fraser University
Morten Røndal Olsen
Strategic Manager
Aarhus University
Andy Nguyen
Assoc. Prof.
University of Oulu
Yoed N. Kenett
Assoc. Prof.
Technion – Israel Institute of Technology
Janet Marler
Prof.
University at Albany, State University of New York
Sanna Järvelä
Prof.
University of Oulu
Casper Thylkjær
GenAI Solution Architect & Research Assistent
Aarhus University
Florent Vinchon
Researcher
Université Paris Cité & Univ Gustave Eiffel
Frederik Brosbøl Kjeldsen
GenAI Solution Architect & Research Assistent
Aarhus University
Rigmor Lyck Hansen
GenAI Solution Architect & Research Assistent
Aarhus University
Aleksandra Berditchevskaia
Insights & Engagement Lead
Centre for Collective Intelligence, Nesta
Seyedahmad Rahimi
Assist. Prof.
University of Florida
Dominik Dellermann
CEO
vencortex®
Sudapa Chompunuch
–
Post graduate researcher
Thomas Schmid
JProf.
Martin Luther University Halle-Wittenberg
Manuel Rindle
PhD Student
University of Hildesheim
Enrico Daga
Senior Research Fellow
The Open University
Umberto Domanti
PhD Candidate
Free University of Bozen-Bolzano
Frank van Harmelen
Prof.
Vrije Universiteit Amsterdam
Catholijn Jonker
Prof.
Leiden University
André Meyer-Vitali
Senior Researcher
German Research Center for Artificial Intelligence
Chiara Natali
Postdoctoral Researcher
Vrije Universiteit Amsterdam
Leon Reicherts
Senior Researcher
University of St. Gallen
Jonas Elpelt
PhD Student
Goethe University Frankfurt
Behzad Bozorgtabar
Assoc. Prof.
Aarhus University
Carlos Rafael Catalan
Lead Research Scientist
Samsung R&D Institute
Miranda Kajtazi
Assoc. Prof.
Lund University
Svetlana Norkin
Postdoc
Technical University of Denmark
Christos Gkoumas
PhD Student
Aarhus University
Peter Vistisen
Assoc. Prof.
Aalborg University
Daniel Staegemann
Research Associate
Otto von Guericke University Magdeburg
Joachim Wiewiura
Postdoc
Aalborg University
Adam Dahlgren Lindström
Postdoc
Umeå University
Zorana Ivcevic
Senior Research Scientist
Yale University
Nick von Felten
PhD Student
University of St. Gallen
Zelun Tony Zhang
Postdoc
Technical University of Munich
Lev Tankelevitch
Senior Researcher
Microsoft Research Cambridge