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Present methods in fairness-informed optimization solve this challenge, however, they in many cases are deterministic and fall in need of exploiting the information which is offered in knowledge. Farnadi’s exploration focuses on the complementary strengths of fairness procedures in ML and OR to address these shortcomings in a good info-pushed det