New generative model studies contextual integrity in LLM information sharing

Researchers have developed a generative model to study contextual integrity in information sharing, particularly concerning large language models. This model simulates conversations between two actors, one with private information and the other seeking it, to observe how sharing and refusal behaviors are influenced by context, decision logic, and the underlying language model. The study found that while information was shared appropriately when needed, it was also disclosed to unauthorized recipients, highlighting the complexities of information flow in simulated conversational environments. AI

IMPACT Provides a framework for understanding and potentially improving how LLMs handle sensitive information sharing in conversational contexts.

RANK_REASON Academic paper on a generative model for studying contextual integrity in LLMs. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

• arXiv
• Contextual integrity
• Hugging Face
• large language models

• paper
• safety

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