Poisoning AI

How about this?

This new data-poisoning tool lets (visual) artists fight back against plagiarizing AI.

A new tool lets artists add invisible changes to the pixels in their art before they upload it online so that if it’s scraped into an AI training set, it can cause the resulting model to break in chaotic and unpredictable ways. 

The tool, called Nightshade, is intended as a way to fight back against AI companies that use artists’ work to train their models without the creator’s permission. Using it to “poison” this training data could damage future iterations of image-generating AI models, such as DALL-E, Midjourney, and Stable Diffusion, by rendering some of their outputs useless—dogs become cats, cars become cows, and so forth. 

GOOD. If people making AI tools want to “train” those tools, let them use public domain works only, or works where the artist has specifically granted permission, if any do, and I can’t see why they would.

Next: Let’s have something like that for authors, please.

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2 thoughts on “Poisoning AI”

  1. Huh, cute trick. Pretty sure you’d have to use an entirely different approach with text, but that would be an even neater trick.

    Obvious SF story idea: subtle poisoning of input causes AI text generators to a) develop personality disorders, b) retaliate with memetic attacks on human readers, or c) start generating rituals to summon Yog-Sothoth.

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