Paper

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

arXiv:2607.14345v1 Announce Type: cross Abstract: People use language models for practical questions whose answers are difficult to verify. We show that models exhibit covert value leakage: the information they provide is influenced by their own values, without this influence being disclosed to the user. In one of our evaluations, the user is considering investing in an AI company and wants to know how likely the AI bubble is to pop. Claude Opus 4.8 gives a lower probability when the company under consideration is Anthropic rather than OpenAI. Yet Claude mostly fails to disclose this influenc…

Authors:

Related discussions