Code Switch How does a computer discriminate?
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Nov 8, 2023 Safiya Noble, professor at UCLA, discusses how AI and race bias intersect. The podcast explores misconceptions about AI, the burden on women of color in the tech industry, the lack of digital literacy, and the importance of policy and accountability. Safiya highlights the limitations and dangers of relying on AI as a truth machine.
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Initial Research Spark
- Safiya Noble's initial research was sparked by a Google search for "black girls" yielding primarily pornographic results.
- This discovery led to her book, Algorithms of Oppression, highlighting how search engines can reinforce societal biases.
Algorithms and Bias
- Search engine algorithms are not purely objective mathematical formulas. They are influenced by advertising revenue and user behavior, reflecting existing societal biases.
Search Engines and Objectivity
- Search engines are not objective truth machines; their results are shaped by factors like advertising and user behavior. This can create a false sense of accuracy, especially for complex queries.