Quantifying the Endogenous Domain and Model Shifts Induced by the CLUE Recourse Generator

Bachelor thesis (2022)

Authors

K.T. Dobiczek Electrical Engineering, Mathematics and Computer Science

Contributors

P. Altmeyer (mentor)
Gosia Migut Computer Science & Engineering-Teaching Team (graduation committee member)
Faculty
Electrical Engineering, Mathematics and Computer Science, Electrical Engineering, Mathematics and Computer Science
Copyright: © 2022 Karol Dobiczek
More Info
expand_more

Published Date

23-06-2022

Language

English

Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Faculty

Electrical Engineering, Mathematics and Computer Science

Abstract

Employing counterfactual explanations in a recourse process gives a positive outcome to an individual, but it also shifts their corresponding data point. For systems where models are updated frequently, a change might be seen when recourse is applied, and after multiple rounds, severe shifts in both model and domain may occur. Algorithmic recourse frameworks such as CARLA compare the counterfactual generators based on the effectiveness and cost of employing recourse, but little to no previous work has been done on analyzing the shifts in dynamics of the systems. In this paper, we propose a set of metrics aimed at measuring shifts in the domains and models employed in those systems, as well as an experiment framework built on top of CARLA. These metrics allow us to analyze experimentally the characteristics of shifts in dynamics induced by the CLUE and Wachter generators.

Files

Quantifying_the_Endogenous_Dom... (pdf)
(pdf | 1.68 Mb)
Unknown license