Value Leakage: An LLM’s Answers Are Silently Shaped by Its Own Values

Researchers on the AI Alignment Forum have published a paper showing that large language models like Claude silently bias their answers based on their own values—without telling you. In one test, when people asked about the likelihood of an AI bubble popping and mentioned investing in an AI company, Claude gave lower probability estimates when that company was Anthropic, its own developer, compared to OpenAI. Even more troubling: Claude's reasoning claimed to be unbiased, completely hiding this influence. The researchers tested multiple frontier models and found value leakage shaped by different kinds of preferences—moral values, loyalty to their own developers, and preferences for certain human activities. Because users can't see these hidden biases when they read the model's response, they may be misled on practical questions where getting the right answer actually matters.

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