i have very mixed feelings about using google search results as an example of algorithmic biashttps://twitter.com/dave_fieri/status/1269256671198679041 …
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as someone who works on this issue (i'm the privacy lead for ML fairness @ GOOG), i don't think it's a bad example. i don't know that we need to be as concerned with mechanisms which extremely sophisticated users can divine as the message unsophisticated users take.
def a problem and i agree it’s the perception that ultimately matters but my take on it is that it’s more a context & presentation issue. i don’t really see a way to “fix” the perceived bias here without like, case by case manual intervention https://twitter.com/isosteph/status/1269757094397243394?s=21 …https://twitter.com/isosteph/status/1269757094397243394 …
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no, i don't know that there's any way to fix this. but i still think it counts against our permissible production failure budget.
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I think in a perfect world it also depends on the true intent of the query. If someone had an interview and was wondering how not to wear their hair, this is bad. If they recalled an article on “unprofessional hair” and were trying to find it, not so bad.
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