Social Science Bites

Safiya Noble on Search Engines

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Sinopsis

The work of human hands retains evidence of the humans who created the works. While this might seem obvious in the case of something like a painting, where the artist’s touch is the featured aspect, it’s much less obvious in things that aren’t supposed to betray their humanity. Take the algorithms that power search engines, which are expected to produce unvarnished and unbiased results, but which nonetheless reveal the thinking and implicit biases of their programmers. While in an age where things like facial recognition or financial software algorithms are shown to uncannily reproduce the prejudices of their creators, this was much less obvious earlier in the century, when researchers like Safiya Umoja Noble were dissecting search engine results and revealing the sometimes appalling material they were highlighting. In this Social Science Bites podcast, Noble -- the David O. Sears Presidential Endowed Chair of Social Sciences and professor of gender studies, African American studies, and information stud