 Hello, The only way artificial intelligence can recognize anything – a car, a hand, or even a penis – is if individual data workers review and tag photo after photo of the object. Over and over again. Millions of people work on the data that is used to train AI behind the scenes. These are the essential workers of AI — yet they’re mostly invisible and exploited. When it comes to viewing more intimate images, it can also be deeply traumatic. In episode 2 of Mozilla’s IRL Podcast, host Bridget Todd talks to data workers and entrepreneurs pushing for change and asks: Does it have to be this way? Spoiler alert: it does not, there is a better way. In case you missed it:  | | Episode 1: With AIs wide open Are today’s large language models too hot to handle? Bridget Todd digs into the risks and rewards of open sourcing the tech that makes ChatGPT talk. Listen to the episode. |
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 | | Blog: What to expect from Season 7 IRL executive producer and SVP for Global Programs at Mozilla, J. Bob Alotta talks about why Season 7 of IRL is all about putting people over profit in AI. Read the blog. |
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