New paper on “fairness hacking”

Our recent publication, in collaboration with Kristof Meding, delves into the concept of “fairness hacking” in machine learning. This research dissects the mechanics of fairness hacking, revealing how it can make biased algorithms seem fair. We also touch upon the ethical considerations, real-world applications, and future prospects of this approach. To explore the full details, check out the article here.