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The solution would be to accept that the classification algorithm was too error probe to be usable for non-toy applications.
by foldr 7y ago
The solution would be to accept that the classification algorithm was too error probe to be usable for non-toy applications.
- ralfd 7y agoWe are going in circles. An error rate of 2% (heck! 20%!) would not make a classification unusable, that was what one of the grandfather posts was arguing. https://adssettings.google.com/u/0/authenticated https://adssettings.google.com/u/0/authenticated Here Google can infer my gender and my age and personal interests just from my search history. I am sure this is not perfect either, it is still immensely useful for advertising.
- lordCarbonFiber 7y agoNot the best example, given google lets you toggle your ad segments when they get them wrong and isn't baisising that guess based on physical presentation; the ad segment "male" is just a comment on the things you search and click on.
- natalyarostova 7y agoWhy are you imposing the error tolerances the user should have? Shouldn't that be their choice?
- foldr 7y agoIf I'm the author of the tool, I can impose whatever I want, no? It's not like people have a God-given right to have Google tag photos with genders for them.
- lordCarbonFiber 7y agoIf someone wants to build and train their own model that assigns a binary gender based on pictures that's their own choice, and because of that freedom they can't force google to do it for them.
- natalyarostova 7y agoRight, it's just that usually the concept with goods and services is that you're paying someone else to do it for you because you either can't or don't want to.