Every week it seems the world is stunned by another advance in artificial intelligence, including text-to-image generators like DALL-E and the latest chatbot, GPT-4. What makes these tools impressive is the enormous amount of data they’re trained on, specifically the millions of images and words on the internet. But the process of machine learning relies on a lot of human data labelers. Marketplace’s Meghan McCarty Carino spoke to Sarah Roberts, a professor of information studies and director of the Center for Critical Internet Inquiry at UCLA, about how this work is often overlooked.

The human labor behind AI chatbots and other smart tools

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