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

Clement Henin 1, 2 Daniel Le Métayer 2
2 PRIVATICS - Privacy Models, Architectures and Tools for the Information Society
Inria Grenoble - Rhône-Alpes, CITI - CITI Centre of Innovation in Telecommunications and Integration of services
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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https://hal.inria.fr/hal-02131174
Contributor : Clement Henin <>
Submitted on : Monday, May 20, 2019 - 12:52:50 PM
Last modification on : Friday, May 24, 2019 - 1:39:23 AM

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  • HAL Id : hal-02131174, version 1

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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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