Logics for Binary-input Classifiers and Their Explanations - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2023

Logics for Binary-input Classifiers and Their Explanations

Résumé

We present our work [1, 2] on modal logics for binary-input classifiers and their explanations. They are able to represent classifiers that propositional logic cannot. In particular, black box classifier is understood as uncertainty among admissible classifiers which are coherent with an agent's partial knowledge, and represented in a product modal logic framework. We also briefly show the logics' application to XAI.
Fichier principal
Vignette du fichier
Beware2023_Classifiers.pdf (286.22 Ko) Télécharger le fichier
Origine : Fichiers éditeurs autorisés sur une archive ouverte

Dates et versions

hal-04308873 , version 1 (27-11-2023)

Licence

Paternité

Identifiants

  • HAL Id : hal-04308873 , version 1

Citer

Emiliano Lorini, Xinghan Liu. Logics for Binary-input Classifiers and Their Explanations. 1st Workshop on Bias, Ethical AI, Explainability and the Role of Logic and Logic Programming (BEWARE 2022), Dec 2022, Udine, Italy. pp.33--38. ⟨hal-04308873⟩
17 Consultations
6 Téléchargements

Partager

Gmail Facebook X LinkedIn More