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Listen to Skin in the Game and more from the Marketplace Morning report wherever you get your

podcasts. There's a lot of consensus around the need to regulate AI. The how? Well, that's another

matter. From American public media, this is Marketplace Tech. I'm Megan McCarty-Karino.

The European Union is getting closer to approving the world's most comprehensive artificial

intelligence regulations. Here in the US, well, at least we're not defaulting on our debt, right?

Fast-moving developments in generative AI tools like ChatGPT and stable diffusion

have raised a slew of concerns over misinformation, copyright, job losses,

but even the EU's AI Act years in the making wasn't crafted with this kind of general purpose

AI in mind. These broadly accessible consumer programs that have almost infinite applications.

Alex Engler is a fellow at the Brookings Institution who studies approaches to governing AI.

Data governance, making sure that people who build these models actually spend time

ensuring that there's not really toxic or really discriminating data used in the training,

which can often perpetuate into whatever downstream uses it has. Most of the popular tools we're

talking about are not open source. How would greater transparency around these models be helpful?

One thing transparency does is it grounds the public conversation in reality,

make sure that we're talking about the fact that these are better text prediction machines and

not magic. That actually improves the function of markets. If you really know what you're buying,

also something the Federal Trade Commission has made a lot of noise and some progress on.

And another is the public understanding, which is receiving a lot of mixed signals right now.

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