Can Algorithms be Explained Without Compromising Efficiency? The Benefits of Detection and Imitation in Strategic Classification

Flavia Barsotti, Rüya Gökhan Koçer, Fernando P. Santos. Can Algorithms be Explained Without Compromising Efficiency? The Benefits of Detection and Imitation in Strategic Classification. In Piotr Faliszewski, Viviana Mascardi, Catherine Pelachaud, Matthew E. Taylor, editors, 21st International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2022, Auckland, New Zealand, May 9-13, 2022. pages 1536-1538, International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), 2022. [doi]

Abstract

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