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cs.HC2024
Confident Teacher, Confident Student? A Novel User Study Design for Investigating the Didactic Potential of Explanations and their Impact on Uncertainty
Teodor Chiaburu, Frank Haußer, Felix Bießmann
Evaluating the quality of explanations in Explainable Artificial Intelligence (XAI) is to this day a challenging problem, with ongoing debate in the research community. While some…
cs.HC2021★ 1 cited
Quality Metrics for Transparent Machine Learning With and Without Humans In the Loop Are Not Correlated
Felix Biessmann, Dionysius Refiano
The field explainable artificial intelligence (XAI) has brought about an arsenal of methods to render Machine Learning (ML) predictions more interpretable. But how useful explanati…