The European Union has introduced a comprehensive AI law that provides for far-reaching regulation of artificial intelligence. Commentaries from TRR members on this law...
For the second time, TRR 318 opened its doors and invited international scholars to discuss research on explanation and artificial intelligence. A conference in pictures...
Starting in November, the Paderborn University will fund the independent research group on mental models in the context of developing explainable artificial intelligence for three years.
Great success in Lisbon: At the World Conference on eXplainable Artificial Intelligence, the team of the Transregio subproject C03 "Interpretable machine learning: explaining change" won the award for the best scientific publication. Maximilian Muschalik and Fabian Fumagalli travelled to Portugal for the conference and received the award for their paper "iPDP: On Partial Dependence Plots in Dynamic Modelling Scenarios".
The transregio takes part at the "Expedition Wissenschaft"-Fair. On Friday the 15.09.23 people of all ages can get some insights on how we are researching the explainability of aritfical intelligence.
In a new study by the Universities of Bielefeld and Bremen, scientists are testing how humans can better follow the instructions of a robot. The robots have to adapt their communication. The aim is to improve human-machine interaction. Several researchers from Transregio 318 and the University of Bremen are involved in the study.
Professor Dr Joanna Bryson from the Hertie School in Berlin is addressing the transparency of AI and the control of manufacturing companies in her lecture. The expert on ethics and technology will provide insights into her research on this topic in her lecture. The lecture is part of the series ‘Co-Constructing Intelligence’, an event organized by Bielefeld University, the University of Bremen, and the Paderborn University.
A group of researchers from the universities of Bielefeld, Paderborn, and Bremen want to radically transform the interaction between humans and machines and teach robots knowledge and manual skills in a natural way.