The problem of bias in artificial intelligence is more than a glitch.

From American public media, this is Marketplace Tech.

I'm Megan McCarty-Karino.

Artificial intelligence is practically all anyone in the tech world can talk about these

days.

Or should I say, it's all anyone can chat about.

Many of the biggest names in the industry are competing for dominance with ever more

powerful AI.

But some experts have called for a timeout to evaluate the harms these tools could cause.

And you don't have to look far to find examples, says Meredith Broussard.

She's a journalism professor at NYU who's been tracking the harms of AI even before

the latest generation of chat bots and image generators.

Her new book More than a Glitch came out last month.

We tend to talk about bias in tech like it's a momentary blip.

A glitch is something that's easily fixed in the code.

And so when we see social problems manifest in technology, we need to stop treating them

like glitches and we need to understand why social problems manifest inside our technologies.

And we need to not pretend that these things are really easy to fix.

So like when Google images labels images of black men as gorillas or when chat GPT generates

text that looks like it's grooming a 13 year old for a child predator, these are not

just easily fixed code issues.

These are really human problems and we can't contribute to magical thinking about AI.

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