
Can AI really do everything by itself? AI has impressed a lot of people with its output.
But even though it’s sold as an autonomous, inhuman tool, there’s a lot of human work that goes into it. While that work does happen in the US, many AI laborers also live overseas – and get paid less to do it.
Everything that goes into making AI function – from the data it feeds on to the labor that trains it – smacks of colonialism, according to some scholars and researchers. This has led to the emergence of the term "data colonialism." Is this comparison a fitting one, and what are the broader implications of data colonialism for society at large?
Brittany gets into it with Regine Cabato , a freelance journalist based in the Philippines who’s written about AI laborers there for The Washington Post , and Ulises Mejias , professor at SUNY Oswego and co-author of the book Data Grab the New Colonialism of Big Tech and How to Fight Back. (00:00) Does AI really do everything by itself? (04:20) The human labor behind AI (06:46) The work conditions of overseas AI laborers (09:43) Why AI companies recruit some workers from the Global South (14:56) The narrative of AI's magic (18:04) Is AI shaped by colonialism? (24:53) Is an ethical generative AI possible? For more episodes about AI and modern life, check out: You might be suffering from AI brain fry Me and my partner don't see eye-to-eye about AI.
Now what? The hard work of having "good taste" Support Public Media.
Join NPR Plus. Follow Brittany on Instagram: @bmluse For handpicked podcast recommendations every week, subscribe to NPR’s Pod Club newsletter at .
See pcm. for information about our collection and use of personal data for sponsorship and to manage your podcast sponsorship preferences. NPR Privacy Policy
Podcast news, creator spotlights & picks
Comments (0)
No comments yet.