How Do Classifiers Induce Agents To Invest Effort Strategically?
Machine Learning
2019-08-02 v5 Computers and Society
Data Structures and Algorithms
Computer Science and Game Theory
Machine Learning
Abstract
Algorithms are often used to produce decision-making rules that classify or evaluate individuals. When these individuals have incentives to be classified a certain way, they may behave strategically to influence their outcomes. We develop a model for how strategic agents can invest effort in order to change the outcomes they receive, and we give a tight characterization of when such agents can be incentivized to invest specified forms of effort into improving their outcomes as opposed to "gaming" the classifier. We show that whenever any "reasonable" mechanism can do so, a simple linear mechanism suffices.
Cite
@article{arxiv.1807.05307,
title = {How Do Classifiers Induce Agents To Invest Effort Strategically?},
author = {Jon Kleinberg and Manish Raghavan},
journal= {arXiv preprint arXiv:1807.05307},
year = {2019}
}