Trustworthy AI Lab

Artificial Intelligence poses opportunities and threats to society. The mission of the Trustworthy AI Lab is to advance AI research, education, policy and offer best practices to support ethical, responsible, mindful, sustainable, trustworthy AI and AI-based-applications.

The laboratory is interdisciplinary, involving multiple international researchers from various disciplines, and provides a peer forum for academic and industrial research and applications. In addition, the Lab offers workshops and continuous learning possibilities for citizens, local and regional private entities, healthcare professionals, engineers and developers, students who want to learn more concerning the ethical and trustworthy use of AI.

The Lab collaborates closely with international networks such as the Z-Inspection® assessment method for Trustworthy AI External link. The Z-Inspection® approach is a validated assessment method that helps organizations to deliver ethically sustainable, evidence-based, trustworthy and user-friendly AI-driven solutions. The method is published in IEEE Transactions on Technology and Society 

Z-Inspection®  is distributed under the terms and conditions of the Creative Commons (Attribution-NonCommercial-ShareAlike CC BY-NC-SA) license.




Name Title Phone E-mail
Boris Düdder Associate Professor +4593565748 E-mail
John Brandt Brodersen Professor +4535327592 E-mail
Sune Hannibal Holm Associate Professor +4535328893 E-mail
Timo Minssen Head of Centre, Professor +46708607517 E-mail


Name Title Affiliation
Helle Collatz Christensen Clinical Research Associate Professor ​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​Department of Clinical Medicine, KU
Nikolaj Blomberg Postdoc ​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​Region Hovedstaden


Name Title Affiliation
Roberto V. Zicari Professor Z-Inspection® Initiative


Portrait of Boris DüdderBoris Düdder
Associate Professor