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"Bias laundering" happens when we choose to ignore the biases of automated decision systems because of the illusion that all algorithms must be objective since they're "driven by math" or "run by a computer".https://twitter.com/RealSaavedra/status/1087627739861897216 …
Algorithmic biases could be hard-coded by the implementer, or could come from a biased choice of features, or could come from biased data (all data being biased in some way), or could simply arise from spurious correlations (overfitting). Math/computers are a detail in the story.
In general, automated decision systems tend to inherit the biases of the human-driven process that they replace. Unfortunately, these biases start to acquire a veneer of objectivity, and become harder to inspect, or fix.
With humans at least, new generations bring change. Algorithmic bias may prove to be more entrenched than human-driven bias, due to the greater indirection and continuity brought by datasets and algorithms, as opposed to someone's judgment...
I've also heard the term "datawashing" used for this. I think a @fredbenenson coinage?
i mean, specifically, what happened in that case was that about 1/5 to 1/4 of the human brain is involved in conspecific recognition tasks and you can't beat that in silico billions of times a year.
It goes back to the nuance between accuracy and precision. Algorithms are precise, ie, consistent; but a biased algorithms is likewise consistently wrong.
Yes they are... Math is agnostic but men who use it ito program are evil.
Ancient evolutionionary optimization.. didn't Knuth state, that premature optimization is the root of all evil?
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