Existing strategies in fairness-informed optimization solve this concern, nevertheless, they in many cases are deterministic and tumble in need of exploiting the information which is obtainable in knowledge. Farnadi’s analysis focuses on the complementary strengths of fairness techniques in ML and OR to address these shortcomings in a good detail

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Some authors have recommended in practice, the definition of AI is imprecise and challenging to outline, with contention as as to if classical algorithms needs to be categorised as AI,[330] with quite a few organizations over the early 2020s AI boom utilizing the time period like a marketing buzzword, normally even if they did "not basically use AI