In today's episode, I tackle the big question of reducing bias in AI. I explain the differences between statistical biases and human biases, and the equality of outcome versus opportunity. There are no easy answers, but understanding these concepts is key to documenting and implementing fairness policies for your models. Tune in for an in-depth look at this critical issue!

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