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As machine learning (ML) systems are increasingly adopted across industries, addressing fairness and bias has become essential. While many solutions focus on ethical challenges in ML, recent studies highlight that data itself is a major source of bia
Externí odkaz:
http://arxiv.org/abs/2412.15920
