Re:Yann LeCun quits Twitter amid acrimonious exchanges on AI...
by aaron-santos on Wednesday July 01, 2020 @12:05AM
(#23697644)
To expand a bit on your question directly and agree with your other points obliquely
> If you have diverse datasets, but your ... model doesn't like ... things correlated with being black... what then?
How do you release your data/models today? Does your release process include a section detailing what the data implies or the limitations of the mode? How would your boss handle being exposed to these findings? If your boss still wants to use the data set or deploy the model knowing the limitations, do you care enough to do something about it? Maybe you have a different set of answers to these questions. Does that make asking them any less important?
Or, for facial recognition, etc-- if you have done all the research with white faces, and then someone complains the system doesn't work for black people-- what then? Just saying "oh, with a different training dataset" to handwave things away doesn't mean that the resultant system will work well for minorities. The camera/optical system/etc may not like black people, too, and without additional validation you can't find these effects.
IMO, you don't need to know how to fix a problem where injustice is occurring to complain about and protest the injustice.