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Constitutional AI
1 post about Constitutional AI. Every summary links to the original.
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Claude's constitution
Claude’s constitution describes how explicit principles can guide a language model’s behavior instead of relying on values implicitly determined through large-scale human feedback. The approach uses AI feedback in two training phases: the model first critiques and revises responses using the principles, then reinforcement learning selects the more harmless output using AI-generated evaluations. The post says Constitutional AI produced a Pareto improvement in tests, with the model responding more appropriately to adversarial inputs while remaining helpful and not evasive; harmlessness results came without human harmlessness data. The constitution draws on the UN Declaration of Human Rights, safety practices, other AI-lab principles, global platform guidelines, and attempts to include non-Western perspectives, while remaining an iterative, adjustable document.
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