DeepAI
Log In Sign Up

The Social Cost of Strategic Classification

08/25/2018
by   Smitha Milli, et al.
0

Consequential decision-making typically incentivizes individuals to behave strategically, tailoring their behavior to the specifics of the decision rule. A long line of work has therefore sought to counteract strategic behavior by designing more conservative decision boundaries in an effort to increase robustness to the effects of strategic covariate shift. We show that these efforts benefit the institutional decision maker at the expense of the individuals being classified. Introducing a notion of social burden, we prove that any increase in institutional utility necessarily leads to a corresponding increase in social burden. Moreover, we show that the negative externalities of strategic classification can disproportionately harm disadvantaged groups in the population. Our results highlight that strategy-robustness must be weighed against considerations of social welfare and fairness.

READ FULL TEXT

page 1

page 2

page 3

page 4

10/23/2019

Strategic Adaptation to Classifiers: A Causal Perspective

Consequential decision-making incentivizes individuals to adapt their be...
05/22/2019

Optimal Decision Making Under Strategic Behavior

We are witnessing an increasing use of data-driven predictive models to ...
03/01/2021

Information Discrepancy in Strategic Learning

We study the effects of information discrepancy across sub-populations o...
06/24/2021

Alternative Microfoundations for Strategic Classification

When reasoning about strategic behavior in a machine learning context it...
05/24/2022

Fairness in Selection Problems with Strategic Candidates

To better understand discriminations and the effect of affirmative actio...
12/21/2021

On the Adversarial Robustness of Causal Algorithmic Recourse

Algorithmic recourse seeks to provide actionable recommendations for ind...
09/16/2021

Strategic Ranking

Strategic classification studies the design of a classifier robust to th...