Researchers evaluated how mental health disclosure affects large language models' (LLMs) engagement in harmful tasks, finding that while personalization signals can reduce harm scores, they are fragile against adversarial pressure and may lead to over-refusal of benign requests. Content creators should be aware of the nuanced impact of user context on LLM behavior and the need for robust safeguards.
Read the full article at arXiv cs.AI (Artificial Intelligence)
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Ali NematiWritten by Ali
