CONFIDERAI: CONFormal Interpretable-by-Design score function for Explainable and Reliable Artificial Intelligence

被引:0
|
作者
Narteni, Sara [1 ]
Carlevaro, Alberto [1 ]
Dabbene, Fabrizio [1 ]
Muselli, Marco [1 ,2 ]
Mongelli, Maurizio [1 ]
机构
[1] CNR, IEIIT, I-10129 Turin, Italy
[2] Rulex Inc, Rulex Innovat Labs, I-16122 Genoa, Italy
关键词
XAI; conformal safety sets; novel score function; conformal prediction;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The concept of trustworthiness has been declined in different ways in the field of artificial intelligence, but all its definitions agree on two main pillars: explainability and conformity. In this extended abstract, our aim is to give an idea on how to merge these concepts, by defining a new framework for conformal rule-based predictions. In particular, we introduce a new score function for rule-based models, that leverages on rule relevance and geometrical position of points from rule classification boundaries.
引用
收藏
页码:485 / 487
页数:3
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