One of the key contributions of ethical AI analysts is identifying and mitigating biases in data and models. They assess datasets for representativeness, scrutinize algorithms for discriminatory patterns, and implement techniques to promote fairness, thereby preventing machine learning systems from perpetuating or exacerbating social inequalities.
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