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cs.HC2025
When concept-based XAI is imprecise: Do people distinguish between generalisations and misrepresentations?
Romy Müller
Concept-based explainable artificial intelligence (C-XAI) can let people see which representations an AI model has learned. This is particularly important when high-level semantic…
cs.HC2025
How humans evaluate AI systems for person detection in automatic train operation: Not all misses are alike
Romy Müller
If artificial intelligence (AI) is to be applied in safety-critical domains, its performance needs to be evaluated reliably. The present study aimed to understand how humans evalua…