How do children learn their first words and how can care robots acquire the skills to help patients? In the fifth episode of the podcast “Explaining Explainability”, experts shed light on the concept of scaffolding - the art of supporting learners so that they can master complex tasks independently - and apply it to explanatory situations.
The current issue of the TRR 318 newsletter explores the role of context in AI explanations, aligning with the theme of the third TRR 318 conference “Contextualizing Explanations”, scheduled for June 17 and 18 at Bielefeld University.
Researchers from the INF project have developed a model that aims to predict the optimal prompts. This should improve the generated output of language models. Maximilian Spliethöver presented the TRR 318 study at the NAACL 2025 conference in New Mexico, USA.
Hubert Baniecki is a PhD student at the University of Warsaw and was a visiting researcher in project C03 of TRR 318 at the LMU Munich in March. In the interview, he shares what he researched with the TRR members, what made the collaboration special for him, and the impressions he took away.
Have we already found a solution with ChatGPT and DeepSeek for an explainable AI that meets our requirements for an AI that can explain itself? Moderator Prof. Dr.-Ing. Britta Wrede discusses this question with her guests Prof. Dr. Henning Wachsmuth and Prof. Dr. Axel Ngonga Ngomo in the fourth episode of the podcast “Explaining Explainability”.
How can explanations of AI systems be made comprehensible and what role does context play in this? These questions are the focus of the 3rd TRR 318 conference “Contextualizing Explanations”, which will take place on 17 and 18 June in Bielefeld.
From left: TRR 248 spokesperson Prof. Dr.-Ing Raimund Dachselt, Prof. Dr. Eyke Hüllermeier, Prof. Dr. Katharina Rohlfing, Prof. Dr. Kirsten Thommes, Prof. Dr. Philipp Cimiano, Prof. Dr.-Ing Anna-Lisa Vollmer and the project leaders of TRR 248, Prof. Dr. Vera Demberg and Prof. Dr. Markus Krötzsch.
On Thursday, a team of TRR 318 visited the Collaborative Research Center/Transregio 248 “Foundations of Perspicuous Software Systems”. The aim of the meeting was to identify interfaces between the two research networks and to intensify the scientific exchange.
The TRR 318 “Constructing Explainability” is now represented on Instagram. The new account sfb_trr318 offers regular updates and insights into interdisciplinary research on the topic of explainable artificial intelligence (XAI).
In a new video, Nils Klowait explains how artificial intelligence (AI) can be democratically shaped through co-construction, offering insights into current research by the TRR 318.
Interview with three TRR members: Project manager Prof. Dr. Hanna Drimalla, spokesperson Prof. Dr. Katharina Rohlfing and managing director Ronja Hannebohm (from left).
Three women from TRR 318 discuss gender equality and equal opportunities in science. Professor Katharina Rohlfing shares her experiences in a leadership position. Professor Hanna Drimalla encourages future female scientists to pursue their careers actively. And Ronja Hannebohm explains the project's internal measures to promote gender equality comprehensively.
Josephine B. Fisher, TRR speaker Professor Katharina Rohlfing, and Dr. Angela Grimminger, together with Dr. Ed Donellan, Dr. Yan Gu, and Professor Gabriella Vigliocco from University College London (UCL), have published the research article "Explain with, rather than explain to: How explainees shape their own learning".
The third episode of the “Explaining Explainability” podcast is entitled “Understanding” and has now been published. In this episode, Professor Britta Wrede, Professor Hendrik Buschmeier and Professor Heike Buhl focus on the process of understanding.
On 17 and 18 June, the TRR 318 is organizing the 3rd conference “Contextualizing Explanations”. Researchers from all disciplines have until 16 April (extended deadline) to submit their abstracts.
