Agroup of Chicago-based developers have equipped artists with Nightshade, a method of fighting back against unethical data practices.

Nightshade is a sophisticated tool designed to protect digital artwork from unauthorized use in AI training by introducing ‘poison’ samples.

These alterations are imperceptible to the human eye but disrupt an AI’s learning process, leading to incorrect associations and responses.

The researchers write, “Human eyes might see a shaded image of a cow in a green field largely unchanged, but an AI model might see a large leather purse lying in the grass.” 

The effect accumulates, so the more ‘poisoned’ images end in a dataset, the more the model’s performance deteriorates.

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