for the Realization of Common Good AI Applications
Modern Co-Working
Space at ZEKI
Make the benefits
of AI visible
Support in the development
of AI applications
Exchange and reuse
In addition to the OPACA framework, various tools were also developed in the Go-KI project. One of these is a BPMN editor and interpreter based on BPMN-js, which has been extended for integration with OPACA...
During the last weeks, we were able to present several research papers that were created in the scope of the project at conferences, including: „LaFAM: Unsupervised Feature Attribution with Label-free Activation Maps“ (KI 2024), „GGAS: Ground Guiding Assistant..
Like last year, this summer we are once again welcoming numerous student interns from other renowned universities in Europe and overseas to join our team for a few weeks...
The Go-KI project, in particular our work on Explainable AI and various applications in the ZEKI real-world laboratory, were presented at this year's Long Night of Science (LNDW) at TU Berlin....
Our first XAI Paper Reading Meetup on February 21th was a huge success. We could welcome 20 guests at ZEKI and another 10 via Zoom. After the presentation of the paper ...
The goal of Explainable AI (XAI) is to answer questions such as: Why did the AI make this decision? Can I trust the decision? Is it fair? However, the methods of XAI...