Taking it a step further than @JuliaAngwin did—
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So the biased outcomes for black people are ultimately defended as being “logical” and “fair” and deterministic—
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When the issue is that white people are *systematically* given a pass where black people aren’t
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It reminds me a lot about the conversation around women in tech—
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Women in all sorts of male dominated professions receive harsher performance reviews compare to their male counterparts
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When challenged, there’s always *some* reason why the woman isn’t that good of a worker or is subpar
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But the forgiveness being granted to her male colleagues rarely enters the conversation.
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But back to the original example: The idea that the error baked into these “deterministic” systems is on the side of whiteness is compelling
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I like the frame of “forgiveness” too because we spend far too much time using words like “disparate impact”
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Useful phrase but it doesn’t have the same gut impact as “forgiveness” — why is an algorithm, of all things, forgiving along racial lines?
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Good takeaways from that whole session. Me, Emily Gorcenski, and Gillian Crampton-Smith are the next block at 3:15.
Le chargement semble prendre du temps.
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