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Backdoors as an analogy for deceptive alignment

ARC has released a paper on Backdoor defense, learnability and obfuscation in which we study a formal notion of backdoors in ML models. Part of our motivation for this is an analogy between backdoors and deceptive alignment, the possibility that an AI system would intentionally behave well in…

By Jacob HiltonAlignment Research Center (ARC)
Backdoors as an analogy for deceptive alignment

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Originally published by Alignment Research Center (ARC) on Sep 6, 2024.

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