First published here: https://www.nytimes.com/2018/08/30/technology/bias-google-trump.html
That’s why, in the view of researchers who study the issue of algorithmic bias, the more pressing concern is not about Google’s deliberate bias against one or another major political party, but about the potential for bias against those who do not already hold power in society. These people — women, minorities and others who lack economic, social and political clout — fall into the blind spots of companies run by wealthy men in California.
It’s in these blind spots that we find the most problematic biases with Google, like in the way it once suggested a spelling correction for the search “English major who taught herself calculus” — the correct spelling, Google offered, was “English major who taught himself calculus.”
Why did it do that? Google’s explanation was not at all comforting: The phrase “taught himself calculus” is a lot more popular online than “taught herself calculus,” so Google’s computers assumed that it was correct. In other words, a longstanding structural bias in society was replicated on the web, which was reflected in Google’s algorithm, which then hung out live online for who knows how long, unknown to anyone at Google, subtly undermining every female English major who wanted to teach herself calculus.
Eventually, this error was fixed. But how many other such errors are hidden in Google? We have no idea.