Jiaxin Liu

Semantic relevance is a dangerously loose proxy for safety: replacing standard RAG with formal, scene-grounded rule entailment prevents vision-language planners from acting on ungrounded risk assumptions.

System prompts in commercial AI products are often a mixed bag, with 40% harboring instructions that can undermine user interests, revealing a critical gap in accountability.