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.

UCLA scholar Safiya Noble discusses Google's AI overviews and its impact on search accuracy. They critique the prioritization of ad sales over information quality and explore AI advancements. The hosts joke about a librarian stuck with Google AI summaries and a Catholic priest's Gatorade baptism blunder. They cover the National Archive banning ChatGPT, LLMs outperforming humans in moral guidance, Taco Bell's AI initiatives, and predictions of AGI by 2027. The episode also questions the credibility of a graph on intelligence hierarchy.

Safiya Noble, author and scholar, discusses how search engines reveal the biases of their programmers. She exposes the appalling material highlighted by search engines and offers recommendations for improvement. The podcast covers biased search results, the presence of stereotypes, the need for disambiguation, and the potential changes to Google's algorithm to tackle biases.