Research2h ago
New Framework Tests AI Information Omission
A new research paper examines how AI assistants govern user attention through silent omission. The author identifies specific evidence gaps where models ignore critical data during summarization. This provides a practical testing method for developers to audit LLM objectivity. Practitioners can now better quantify what their models choose to hide.