like “fact-checking”, very popular with journos nowadays (depends on who is checking!)
Bias laundering: when our biases no longer just live in our minds, but get baked into algorithms (e.g. via historically biased data), they become harder to acknowledge, and harder still to identify and fix.pic.twitter.com/k6Ykal4PEj
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If an outfit sets itself up as "fact-checker", these days I automatically don't trust them one bit. Several instances of this in Oz.
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"Bias Laundering". LOL. That is a great term.
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That is true, and a better explanation of the core issue here - I suppose I was interpreting "baked into algorithms" in a softer sense than "the algorithm itself is biased", which is of course the wrong way of looking at this.
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*Not just "the wrong way of looking at this" but also "not what's actually happening", lol.
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the cardinal sin of the Gaussian assumption: you dismiss extreme data as error when in fact it's part of a pattern.
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@Pinboard wrote a good talk with this metaphor: http://idlewords.com/talks/sase_panel.htm …Thanks. Twitter will use this to make your timeline better. UndoUndo
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The algorithm doesn’t have personal agentive bias. But if the data it learns from are biased, then the predictions might be discriminatory.
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The algorithm is designed by humans though. The assumptions , theories and basically all the ingredients into creating an algorithm may be biased!
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This really the point though: are people willing to interrogate the data and algorithms used?
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