Building Ethical, Transparent & Trustworthy Artificial Intelligence
An interdisciplinary research initiative bringing together academia, industry, and policymakers to shape the future of responsible AI.
Quick Highlights
Particulars
Details
Project Name
REPAI – Responsible AI for Value Creation
Lead Institution
Aalborg University
Partner Universities
University of Copenhagen & Aarhus University
Country
Denmark
Project Type
AI Research Initiative
Research Area
Responsible Artificial Intelligence
Funding
24 Million DKK
Status
Ongoing
Opportunity Overview
Particular
Details
Lead Organisation
Aalborg University
Programme Type
Research Initiative
Research Focus
Responsible AI
Collaboration
Universities, Industry & Public Sector
Mode
Interdisciplinary Research
About the Organisation
Aalborg University, together with the University of Copenhagen and Aarhus University, is leading the REPAI initiative to strengthen responsible AI research in Denmark.
The project combines expertise from computer science, law, ethics, public administration, and social sciences to create trustworthy AI solutions.
About the Project
REPAI focuses on developing AI systems that are ethical, transparent, legally compliant, and socially beneficial.
The initiative supports businesses, governments, and researchers in creating AI solutions that deliver innovation while maintaining public trust.
A Responsible AI research initiative led by Aalborg University.
Which universities are involved?
Aalborg University, University of Copenhagen, and Aarhus University.
What is the main focus?
Ethical, transparent, and trustworthy AI research.
How much funding has the project received?
24 Million DKK.
Where can I learn more?
Through the official REPAI website.
CareerFlora Expert Insight
REPAI is one of Denmark's flagship Responsible AI initiatives, bringing together experts from multiple disciplines to develop AI systems that balance innovation with ethics, regulation, and societal impact.
The project also creates opportunities for future researchers and AI professionals interested in responsible AI, governance, and interdisciplinary collaboration.
