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To train a large artificial intelligence model, you need lots of text and images created by actual humans.

As the AI Boom continues, it's becoming clearer that some of this data is coming from copyrighted sources.

Now writers and artists are filing a spate of lawsuits to challenge how AI developers are using their work.

But it's not just published authors and visual articles. how AI developers are using their work.

But it's not just published authors and visual artists

that should care about how generative AI is being trained.

If you're listening to this podcast,

you might want to take notice to.

I'm Lauren Leffer, the Technology

Reporting Fellow at Scientific American. And I'm Sophie Bushwick,

tech editor at Scientific American. You're listening to Tech Quickly, the

digital data diving version of Scientific Americans science quickly. to Tech Quickly, the Digital Data Diving Version

of Scientific Americans Science Quickly podcast. So, Lauren, people often say that generative AI is trained on the whole internet, but it seems

like there's not a lot of clarity on what that means.

When this came up in the office, lots of our colleagues had questions.

Totally.

People were asking about their individual social media profiles, password protected content,

old blogs, all sorts of stuff.

It's hard to wrap your head around what online data means when, as Emily M Bender, a computational

...