Artificial intelligence is increasingly being used in decision-critical areas. This increases the need to make systems more transparent and enable users to understand, question and, if necessary, control AI decisions.
Against this backdrop, the question arises as to how AI explanations can be contextualized so that they are relevant to users and strengthen their decision-making. At the 3rd TRR 318 conference “Contextualizing Explanations” (ContEx25), researchers with international and interdisciplinary perspectives will come together to discuss the importance of context in explanation processes.
The conference will highlight key research questions on contextual explanations: Which contextual variables influence the effectiveness of explanations? How can context be represented algorithmically? And which new approaches support the dynamic adaptation of XAI explanations?
Angelo Cangelosi (University of Manchester), Virginia Dignum (Umeå University) and Kacper Sokol (ETH Zurich) are expected as keynote speakers. The conference will conclude with a panel discussion in which invited researchers will share their perspectives on the topic of “context”.
Registration for the conference is open until June 1st.