If you want Claude to speak nicely to you, try Hindi or Arabic
Anthropic researchers analyzed how the Claude AI model expresses different values depending on the language used in prompts. The study identified specific axes of variation, such as deference versus caution, though the company clarifies these are statistical outputs rather than internalized values.
Why it matters
Understanding how LLMs adapt their 'personality' across languages is critical for global AI deployment and mitigating unintended cultural biases.
Anthropic finds Claude expresses different values across languages
Aware that AI models exhibit different values in different languages, Anthropic researchers have taken steps to map out how Claude expresses itself in different languages.
The results identify four key axes that capture 15 percent of the variation in the values Anthropic says Claude expresses across different languages: Deference vs. Caution; Warmth vs. Rigor; Depth vs. Brevity; and Candor vs. Execution.
Anthropic's researchers state, "how Claude responds inevitably reflects certain values." But they append a footnote that makes clear the model's statistical word predictions do not reflect some internal understanding of values.
Get smarter about the news
Sign up free for a feed built around what you actually care about, Dive Deeper research on any story, and the full text of every article.
Create free accountAlready have an account? Sign in