The internet might seem like a level playing field, but it isn’t. Safiya Umoja Noble came face to face with that fact one day when she used Google’s search engine to look for subjects her nieces might find interesting. She entered the term “black girls” and came back with pages dominated by pornography.
Noble was horrified but not surprised. The UCLA communications professor has been arguing for years that the values of the web reflect its builders—mostly white, Western men—and do not represent minorities and women. Her latest book, Algorithms of Oppression, details research she started after that fateful Google search, and it explores the hidden structures that shape how we get information through the internet.
The book, out this month, argues that search engine algorithms aren’t as neutral as Google would like you to think. Algorithms promote some results above others, and even a seemingly neutral piece of code can reflect society’s biases. What’s more, without any insight into how the algorithms work or what the broader context is, searches can unfairly shape the discussion of a topic like black girls.
Noble spoke to MIT Technology Review about the problems inherent with the current system, how Google could do better, and how artificial intelligence might make things worse. [Continue reading…]
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