Prometheus: Harnessing Fuzzy Logic and Natural Language for Human-centric Explainable Artificial Intelligence

Título	Prometheus: Harnessing Fuzzy Logic and Natural Language for Human-centric Explainable Artificial Intelligence
Autores	Ettore Mariotti, Jose M. Alonso-Moral, Albert Gatt
Tipo	Comunicación para congreso
Fonte	XX Spanish Congress on Fuzzy Logic and Technologies, Málaga, España, 2021.
Abstract	Prometheus is an interpretable model which is suitable for the generation of visual and textual explanations grounded in common sense knowledge. This model can be seen as a special case of generalized additive models, which can be also interpreted as a list of (fuzzy) rules. The goodness of the model is illustrated with one benchmark dataset from the medical domain. Reported results are encouraging. They suggest that Prometheus exhibits a good balance between understandability and classification performance in comparison with other well-known models (e.g., linear models, decision trees or fuzzy rule-based classifiers) which are deemed as interpretable.
Palabras chave	XAI, Interpretable ML, Shapley Values, Generalized Additive Models, Fuzzy Logic

Descargas

• Referencia BibTex