Marketplace Morning reports new Skin in the Game series explores what we can learn about

money and careers from the $300 billion video game industry. Plus, here how an Oakland-based

program helps young people get the skills they need to break into this booming industry.

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

podcasts. AI imagery is reflecting back an even more unequal world than we already have.

From American Public Media, this is Marketplace Tech, I'm Megan McCarty Carino.

Whenever we talk about artificial intelligence systems,

the problem of bias is never far behind. All kinds of insidious patterns can get embedded in

these systems because they're trained on data from our imperfect world. A new report from Bloomberg

News takes a look at the potential for bias in text-to-image, generative AI systems

like stable diffusion. Bloomberg Technology reporter Dina Bass and data visualization reporter Leo

Nicoletti analyzed thousands of AI-generated images of people to determine what the world,

according to AI, looks like. We used stable diffusion to generate more than 5,000 images,

so stable diffusion obviously is an AI program that allows users to put in keywords and then

it generates a photo of what the keywords are describing. People use it for all sorts of weird

and wonderful things, but we used it just to look at job categories. We put in generic prompts

for 14 different job categories. Seven of them were considered high-paying jobs, and seven of

them are considered low-paying jobs. That generated, again, more than 5,000 images, and then we

analyzed those images to see what the output looked like and what the trends were in terms of

what the AI program had opted to show us in the images. Leo, how would you describe the world

that stable diffusion showed you when you entered these prompts? So the world that we're seeing

according to stable diffusion is a very extreme world. It would say a world of extremes.

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