Artificial intelligence can be biased against certain people. Here's how.
Whether we know it or not, we use artificial intelligence every day. But the results AI gives us may reinforce our own cultural stereotypes (PBS NewsHour, 4:21).
Algorithms of Oppression by Safiya Umoja NobleAs seen in Wired and Time A revealing look at how negative biases against women of color are embedded in search engine results and algorithms Run a Google search for "black girls"--what will you find? "Big Booty" and other sexually explicit terms are likely to come up as top search terms. But, if you type in "white girls," the results are radically different. The suggested porn sites and un-moderated discussions about "why black women are so sassy" or "why black women are so angry" presents a disturbing portrait of black womanhood in modern society. In Algorithms of Oppression, Safiya Umoja Noble challenges the idea that search engines like Google offer an equal playing field for all forms of ideas, identities, and activities. Data discrimination is a real social problem; Noble argues that the combination of private interests in promoting certain sites, along with the monopoly status of a relatively small number of Internet search engines, leads to a biased set of search algorithms that privilege whiteness and discriminate against people of color, specifically women of color. Through an analysis of textual and media searches as well as extensive research on paid online advertising, Noble exposes a culture of racism and sexism in the way discoverability is created online. As search engines and their related companies grow in importance--operating as a source for email, a major vehicle for primary and secondary school learning, and beyond--understanding and reversing these disquieting trends and discriminatory practices is of utmost importance. An original, surprising and, at times, disturbing account of bias on the internet, Algorithms of Oppression contributes to our understanding of how racism is created, maintained, and disseminated in the 21st century. Safiya Noble discusses search engine bias in an interview with USC Annenberg School for Communication and Journalism
Call Number: ZA4230 .N63 2018
ISBN: 9781479837243
Publication Date: 2018-02-20
Activity
We will divide into groups of 5 or so students.
Each group will be assigned a short article to read.
If you are comfortable, I recommend that you and your group members take turns reading aloud, though I realize this might be a challenge.
Each group will also need to discuss and answer the questions found below as you will be sharing your responses with the class.