Many conversations around bias in AI start with giving examples and immediately talking about “biased data sets.” Sometimes this will slide into talk about “implicit bias” or “unconscious bias,” which are terms borrowed from psychology that lack a clear and direct application to “biased data sets.” But it’s not enough to say, “the models are trained on biased data sets” or “the AI reflects our historical societal discriminatory actions and policies.”
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