New blog post - a portrait of Zeynep Akata

Under the heading "Science Stories", the Cluster blog portrays our researchers, what drives and motivates them, what do they care about. The latest contribution now is a profile of Zeynep Akata and her research.

Zeynep Akata aims to give insights into the decision-making processes of AI systems.

Skepticism about the use of AI systems is widespread. Many say the systems are too opaque. How can we move away from such "black box" machine learning systems and instead make their decisions explainable? Zeynep Akata, Professor for Explainable Machine Learning at our Cluster, has made this the focal point of her research.

In our latest blog post, she describes how making systems explainable can work.