Assessing and alleviating state anxiety in large language models.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 40033130.
- Also identified by DOI 10.1038/s41746-025-01512-6 and PMC identifier 11876565.
- Licence recorded as CC BY-NC-ND.
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Abstract
The use of Large Language Models (LLMs) in mental health highlights the need to understand their responses to emotional content. Previous research shows that emotion-inducing prompts can elevate "anxiety" in LLMs, affecting behavior and amplifying biases. Here, we found that traumatic narratives increased Chat-GPT-4's reported anxiety while mindfulness-based exercises reduced it, though not to baseline. These findings suggest managing LLMs' "emotional states" can foster safer and more ethical human-AI interactions.