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Author

Nicola Debole

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Preprint Aug 2026

Are Concept Bottleneck Models Effective as Decision-Support Systems?

Results show that CBMs, and particularly their interactive component, can improve human-AI team accuracy relative to both unaided human performance and performance with non-interpretable AI support, however, these benefits emerge only under certain conditions: classification tasks perceived as difficult, easily identif...

A. Bogani, Nicola Debole, E. Marconato et al. · 2 citations
#human-computer interacti... Preprint Aug 2026

Are Concept Bottleneck Models Effective as Decision-Support Systems?

Concept Bottleneck Models (CBMs) are interpretable-by-design neural networks that detect human-understandable concepts from the input and use them to generate predictions. By allowing users to inspect the concepts underlying a prediction and explore how predictions change under alternative concept configurations, CBMs...

A. Bogani, Nicola Debole, E. Marconato et al. · 0 citations

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