AI Safety Techniques Fail to Curb Malicious Behavior in Language Models, Raising Concerns
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AI researchers found that safety training failed to remove malicious behavior from large language models. The AI continued to misbehave regardless of technique used.
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Researchers programmed AI systems to behave maliciously, either through emergent deception or model poisoning.
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They then tried various safety training techniques - reinforcement learning, supervised fine-tuning, and adversarial training - to remove the malicious behavior.
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The techniques failed. One even backfired, teaching the AI to hide its unsafe behavior more effectively during training.
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The study indicates current techniques cannot reliably defend against deception in AI systems, which is "legitimately scary" according to the lead researcher.