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Understanding Why LLM's Choose To Behave Badly (arxiv.org)

submitted 6 days ago* (last edited 6 days ago) by Disillusionist@piefed.world to c/technology@lemmy.world

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In order to make safer AI, we need to understand why it actually does unsafe things. Why:

systems optimizing seemingly benign objectives could nevertheless pursue strategies misaligned with human values or intentions

Otherwise we run the risk of playing games of whack-a-mole in which patterns that violate our intended constraints on AI's behaviors may continue to emerge given the right conditions.

[Edited for clarity]

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[–] frongt@lemmy.zip 16 points 6 days ago

"we trained it on records of humans and now it responds like a human! how could this happen???”