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Fairness is a foundational pillar in the development of ethical and responsible artificial intelligence. One of the most pressing issues in this context is discrimination, which occurs when an algorithm displays unequal treatment toward data from different groups without an objective justification for such disparity.
This library introduces a novel metric to measure Fairness, which consists of a two-dimensional vector: Equality and Equity. This metric allows proper quantification of both justice dimensions