You can understand what ML systems do but why they make certain decisions can be opaque without a lot of investigation. E.g. search algos showing background check ads for black names like “Jamal” but not white names like “Bob” being due to click through rate not racist algo
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Hence most programs are trying to do things that try to interpret outputs, uncover potential biases, tweak models to guess at spurious correlations... None of those are interpretation, and none of them rule out the issues I worry about.
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@stevesi When did you decide that arguing for the sake of arguing was good? I have followed you for years and you used to offer good insight. This feels like you are defending an investment.Thanks. Twitter will use this to make your timeline better. UndoUndo
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