Trustworthy AI Lab

Artificial Intelligence poses opportunities and threats to society. The mission of the Trustworthy AI Lab is to advance AI research, education, and policy and offer best practices to support ethical, responsible, mindful, sustainable, and 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, and students who want to learn more about the ethical and trustworthy use of AI.

The Lab collaborates closely with international networks such as the Z-Inspection® assessment method for Trustworthy AI. 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 SocietyZ-Inspection® is listed in the new OECD Catalogue of AI Tools & Metrics.

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

 

 

People

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
Thomas Troels Hildebrandt Professor +4535335116 E-mail
Xikun Jiang Postdoc E-mail

Fellows

Name Title Affiliation
Helle Collatz Christensen Clinical Research Associate Professor ​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​Department of Clinical Medicine, KU
Nikolaj Blomberg Postdoc ​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​Region Hovedstaden
Léonard Van Rompaey
Guest researcher Faculty of Law - Centre for Private Governance, KU

Advisor

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

Contact

Portrait of Boris DüdderBoris Düdder
Associate Professor
boris.d@di.ku.dk

News

June 11, 2023
Kunstig intelligens i sundhedssektoren kommer ikke nødvendigvis patienter til gode: »Det er et etisk problem«
Read the news in Berlingske

March 10-11, 2023
First World Z-inspection® Conference. Ateneo Veneto, Venice, Italy 
CONFERENCE READER and video