Dr. Thilo Hagendorff, a group leader at IRIS3D, together with a colleague, recently published a paper delving into the concept of “fairness hacking” in machine learning. The paper dissects the mechanics of fairness hacking, revealing how it can make biased algorithms seem fair. It also touches upon the ethical considerations, real-world applications, and future prospects of this approach.
PDF: Fairness Hacking: The Malicious Practice of Shrouding Unfairness in Algorithms