2023
Conference article  Open Access

Demo: an interactive visualization combining rule-based and feature importance explanations

Cappuccio E, Fadda D, Lanzilotti R, Rinzivillo S

Explainable AI  User-interface 

The Human-Computer Interaction (HCI) community has long stressed the need for a more user-centered approach to Explainable Artificial Intelligence (XAI), a research area that aims at defining algorithms and tools to illustrate the predictions of the so-called black-box models. This approach can benefit from the fields of user-interface, user experience, and visual analytics. In this demo, we propose a visual-based tool, "F.I.P.E.R.", that shows interactive explanations combining rules and feature importance.


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BibTeX entry
@inproceedings{oai:it.cnr:prodotti:486658,
	title = {Demo: an interactive visualization combining rule-based and feature importance explanations},
	author = {Cappuccio E and Fadda D and Lanzilotti R and Rinzivillo S},
	doi = {10.1145/3605390.3610811},
	year = {2023}
}

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Science and technology for the explanation of AI decision making


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