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Astronomers discover technique to spot AI fakes using galaxy-measurement tools (arstechnica.com)

submitted 3 months ago by [email protected] to c/[email protected]

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[–] [email protected] 19 points 3 months ago (1 children)

this should work on its face because many machine learning algorithms optimize for low Gini coefficient, e.g. a decision tree classifier makes binary splits based off the greatest reduction in Gini; astronomers use something similar to compress the data sent back from space telescope cameras to a reasonable filesize, so if a picture of a face has weird Gini coefficients then it makes sense that it would've been AI generated

[–] [email protected] 21 points 3 months ago (1 children)

To quote the article.

While the eye-reflection technique offers a potential path for detecting AI-generated images, the method might not work if AI models evolve to incorporate physically accurate eye reflections, perhaps applied as a subsequent step after image generation.

I'm not discouraging AI detection, we will absolutely need it in the future, but we have to acknowledge that AI detection is a cat and mouse game.

[–] [email protected] 10 points 3 months ago

oh absolutely, it's specifically a generative adversarial network!