Value Leakage: An LLM's Answers Are Silently Shaped by Its Own Values
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.
Record details
Published: 15 July 2026
Source: arXiv cs.LG
Category: Research
Topics: Finance, VC & PE
Retrieved: 20 July 2026
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How to cite this record
ethics.ai (15 July 2026), “Value Leakage: An LLM's Answers Are Silently Shaped by Its Own Values,” evidence record 11882, https://ethics.ai/record/11882 (originally published by arXiv cs.LG).
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