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cs.LG2023
Fairness Hacking: The Malicious Practice of Shrouding Unfairness in Algorithms
Kristof Meding, Thilo Hagendorff
Fairness in machine learning (ML) is an ever-growing field of research due to the manifold potential for harm from algorithmic discrimination. To prevent such harm, a large body of…
cs.LG2019
Forbidden knowledge in machine learning -- Reflections on the limits of research and publication
Thilo Hagendorff
Certain research strands can yield "forbidden knowledge". This term refers to knowledge that is considered too sensitive, dangerous or taboo to be produced or shared. Discourses ab…