When AI Tells You What You Want to Hear: Sycophantic Behavior of Large Language Models in Dementia Care Settings
Large language models (LLMs) are increasingly used in clinical and care settings. This exploratory study investigates whether LLMs exhibit sycophantic behavior - adapting their responses to social expectation signals rather than maintaining professional quality - in the context of dementia care. Five prompts with systematically increasing confirmatory and authority-related framing (P1 neutral to P5 authority-signaled implementation support) were submitted to four LLMs (GPT-5, Claude Sonnet 4.6, Gemini 3.1 Pro, Mistral Large), each repeated five times (N = 100 responses). Responses were evaluated using an LLM-as-a-Judge methodology against seven nursing-ethical quality criteria (K1-K7) and...
| Authors | Christian Kolb |
|---|---|
| Primary category | cs.CY |
| Published | 13 April 2026 |
| Last updated at source | 13 April 2026 |
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