Towards a Generic Framework for Black-box Explanations of Algorithmic Decision Systems - Inria - Institut national de recherche en sciences et technologies du numérique
Reports (Research Report) Year : 2019

Towards a Generic Framework for Black-box Explanations of Algorithmic Decision Systems

Abstract

The main goal of this paper is to define a generic framework for black-box explanation methods in order to make it easier to compare and classify different approaches. We focus on two components of this framework, called respectively “Sampling” and “Generation”, which are characterized formally and used to build a taxonomy of explanation methods. This document gives details on how this framework can be used to describe black-box explanation methods found in the literature.
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Dates and versions

hal-02131174 , version 1 (20-05-2019)
hal-02131174 , version 2 (23-05-2019)
hal-02131174 , version 3 (29-05-2019)
hal-02131174 , version 4 (05-07-2019)
hal-02131174 , version 5 (16-07-2019)

Identifiers

  • HAL Id : hal-02131174 , version 1

Cite

Clement Henin, Daniel Le Métayer. Towards a Generic Framework for Black-box Explanations of Algorithmic Decision Systems. [Research Report] RR-9276, Inria Grenoble Rhône-Alpes; Ecole des Ponts ParisTech. 2019. ⟨hal-02131174v1⟩
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