Code Switch
How does a computer discriminate?
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.
33:53
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Quick takeaways
- AI can perpetuate inequality by reproducing biases present in the data it's trained on.
- AI's predictions are influenced by the data it has learned from, which may include societal biases, making it prone to generating incorrect or biased results.
Deep dives
Misconceptions about AI perpetuated by Hollywood and the tech industry
The podcast discusses how Hollywood and the tech industry have shaped certain misconceptions about artificial intelligence (AI). According to the guest, Safiya Noble, AI is often portrayed as superior to humans, sentient, and with its own agenda, leading to fears of a dystopian robot takeover. However, the reality is that there are two modes of AI: generalized AI and narrow AI. Generalized AI, like the Terminator, is still fictional, while narrow AI is the type of AI that most people interact with, such as smartphone apps. The guest highlights that AI is not as intelligent as portrayed and is susceptible to biases.
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