33 citations · 33 across the 2 of their papers we have counts for
2 papers
cs.HC2026
When more precision is worse: Do people recognize inadequate scene representations in concept-based explainable AI?
Romy Müller, Wiebke Klausing
Explainable artificial intelligence (XAI) aims to help uncover flaws in an AI model's internal representations. But do people draw the right conclusions from its explanations? Spec…
cs.HC2024★ 33 cited
How explainable AI affects human performance: A systematic review of the behavioural consequences of saliency maps
Romy Müller
Saliency maps can explain how deep neural networks classify images. But are they actually useful for humans? The present systematic review of 68 user studies found that while salie…