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.
@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} }