Perhaps, but I doubt it. As one anecdote, http://proceedings.mlr.press/v81/buolamwini18a/buolamwini18a.pdf http://proceedings.mlr.press/v81/buolamwini18a/buol

Perhaps, but I doubt it. As one anecdote, http://proceedings.mlr.press/v81/buolamwini18a/buolamwini18a.pdf http://proceedings.mlr.press/v81/buolamwini18a/buolamwini18a... reports facial recognition algorithm performance on darker-skinned women up to 30% lower than lighter-skinned men. The preliminary results were reported to Google, IBM, and Facebook. IBM was able to tune its algorithm achieve comparable scoring across all skin hues/genders within a week (according to my notes from the talk). It could be that search on that scale is much harder than facial recognition, and its also that a quick fix would introduce other errors, I'm sure it's an NP-complete problem, yada yada. But Google and racialized search is not a new issue https://dataprivacylab.org/projects/onlineads/1071-1.pdf https://dataprivacylab.org/projects/onlineads/1071-1.pdf. Yes the society is racist, but then the U.S. enacted the 13th, 14th, 15th and 19th amendments to address extreme racism and gender discrimination. That is, citizens -- responsible engineers and data scientists among them -- can take it as their obligation to confront systemic racism. Yes, Klansmen are racist, Nazis are racist, but we don't have to accept genocide -- we don't even have to accept biased, discriminatory and derogatory internet services either.