Projects

Das Projekt "No-IDLE meets ChatGPT" zielt darauf ab, die Mensch-Maschine-Interaktion bei der Aktualisierung von Deep-Learning-Modellen (DL) zu verbessern, indem die Mensch-Computer-Interaktion (HCI) m

To foster trust, accountability, and informed decisions, it is crucial to develop methods for comprehending and explaining how these models arrive at their conclusions, thus accelerating industrial ad

In recent years, machines have surpassed humans in the performance of specific and narrow tasks such as some aspects of image recognition or decision making along clinical pathways in the medical doma

In the XAINES project, the aim is not only to ensure explainability, but also to provide explanations (narratives). The central question is whether AI can explain in one sentence why it acted the way

The goal of this project is the development of efficient methods for analyzing and for learning to analyse the user behavior during interactions with an expert system. The considered scenario includes

Clinical Data Intelligence develops intelligent smart data solutions based on big data analysis in the medical application context. A special focus is put on (pseudo) anonymisation and data security.

In Kognit we enter the mixed reality realm for helping dementia patients. Dementia is a general term for a decline in mental ability severe enough to interfere with daily life. Memory loss is an examp