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“Intersectional hallucinations”: The AI flaw that could lead to dangerous misinformation (www.psypost.org)

submitted 2 months ago by solo@slrpnk.net to c/technology@lemmy.world

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[–] Telorand@reddthat.com 33 points 2 months ago (4 children)

However, training these AI models needs a LOT of data, so much that some of it has to be synthetic – not real data from real people, but data that reproduces existing patterns. Most synthetic datasets are themselves generated by Machine Learning AI.

Maybe having a blind man teach another blind man how to see based on how he imagines seeing works is a recipe for disaster...

[–] FaceDeer@fedia.io 5 points 2 months ago (3 children)

Turns out analogies are not the actual thing they're analogizing, though. Synthetic data - when properly created and curated - has proven to be very useful and effective in training AI.

[–] Telorand@reddthat.com 14 points 2 months ago* (last edited 2 months ago) (2 children)

Except when it's not, or else this article would have no point.

ETA: also, it seems like a terrible idea to train science models on data you essentially invented. The reason science works is because it follows the extant evidence, not the other way around.

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