TRUMAN Facts
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In this project, we will first focus on specific technologies touching different phases of the AI life cycle, including knowledge graph reasoning, continual learning, and LLMs.
Based on what is learned, we will produce a more generic methodology and adopt a holistic approach to evaluate and develop trustworthy AI solutions.
TRUMAN News and Events
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Trustworthy AI principles and trade-offs: What matters for clinicians?
The Swedish MedTech Days (Medicinteknikdagarna) are an annual gathering of the most prolific actors in the nordic helathcare industry. Here, trustowtrhiness of AI applications is a topic more relevant than ever, as is reflected by the program focus on ML technologies and AI applications in healthcare any beyond. Prof. Simone Fischer-Hübner from Karlstad University was invited to give the keynote for the 2026 edition of Medicinteknikdagarna, and referred about our ongoing work in the TRUMAN project when explaining to the audience of >300 attendees: “Trustworthy AI principles and trade-offs: What matters for clinicians?”
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By Design: Privacy- and Transparency-enhancing Technologies
The German data protection community, known as one of the more elaborate national data protection regimes, gathers annually in the beautiful city of Kiel, Germany, to exchange the status of data protection in the real world. This “Datenschutz-Sommerakademie” is organised by ULD, a TRUMAN partner, and the data protection authority of the German federal state of Schleswig-Holstein. In 2026, the theme of the Sommerakademie was “By Design: Data Protection and more”, focussing on different By-Design approaches for realising data protection, privacy, transparency, security, and AI trustworthiness. Here, KAU research group leader Prof. Simone Fischer-Hübner contributed with a keynote on the…
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Annual Privacy Forum 2026 again supported by TRUMAN
As in 2025, the TRUMAN project was present at the Annual Privacy Forum, APS2026, providing information on the project’s resujlts and latest activities, and discussing aspects of privacy, transparency, fairness, and accountability of AI systems in different applicatgion domains with the large, heterogeneous audience of attendees. Being present with a 3-headed team from Karlstad University, consisting of Henrik Grasshoff, Malten Hansen, and Meiko Jensen, the TRUMAN project perceived a lot of interest and intiations of future collaboration possibilities.