8 citations · 12 across the 2 of their papers we have counts for
2 papers
cs.HC2023★ 4 cited
To Classify is to Interpret: Building Taxonomies from Heterogeneous Data through Human-AI Collaboration
Sebastian Meier, Katrin Glinka
Taxonomy building is a task that requires interpreting and classifying data within a given frame of reference, which comes to play in many areas of application that deal with knowl…
cs.HC2023★ 8 cited
Identifying Explanation Needs of End-users: Applying and Extending the XAI Question Bank
Lars Sipos, Ulrike Schäfer, Katrin Glinka +1
Explanations in XAI are typically developed by AI experts and focus on algorithmic transparency and the inner workings of AI systems. Research has shown that such explanations do n…