Anthropic has Claude self-assess each response for potential misuse
Overview
Anthropic says it has trained Claude to give each conversation a preliminary safety assessment right after responding, a technique it calls self-assessment.
Anthropic says it has used the method since June and that it has surfaced misuse its other safeguards were not designed to catch. Unlike classifiers that target a fixed set of harms, Anthropic says the method draws on Claude's own judgment and improves as its models do.
In a follow-up post, Anthropic says that on Claude Fable 5, self-assessment flags 78% of the conversations that a stronger, prompted classifier flags as potentially harmful, and 94% of the high-priority ones, at a 1% false-positive rate. The accompanying chart shows attack success falling from 79% with no safeguards to 54% with self-assessment and 25% with the prompted classifier.
Written by AI from the articles below · updated Oct 29, 3:02 PM ET
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🚨 AI News | TestingCatalog@testingcatalogXAnthropic introduces self-assessment, a Claude technique that flags potential misuseAIAnthropic says Claude now gives each conversation a preliminary safety assessment right after responding, a technique it calls self-assessment. On Claude Fable 5, it flags 78% of conversations a stronger prompted classifier flags as potentially harmful and 94% of high-priority ones, at a 1% false-positive rate. The accompanying chart shows attack success falling from 79% with no safeguards to 54% with self-assessment and 25% with a prompted classifier.

Anthropic@AnthropicAIOfficialAnthropic trains Claude to flag its own potential misuse after respondingAIAnthropic says it has trained Claude to self-assess conversations for potential misuse, giving a preliminary safety assessment right after each response. Since using the technique starting in June, Anthropic says it has caught misuse its other safeguards were not designed to detect. Unlike classifiers that target a fixed set of harms, Anthropic says self-assessment draws on Claude's own judgment and improves as its models do.
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