Silent Updates: Measuring and Closing the Post-Deployment Disclosure Gap
arXiv:2608.11803v1 Announce Type: new Abstract: Deployed foundation models are often not static systems, with providers able to modify system behavior through fine-tuning, classifier updates, system prompt revisions, retrieval changes, and routing changes. These updates can be made silently -- that is, without public disclosure, a version increment, or re-evaluation. Such silent updates challenge a core assumption behind current AI governance frameworks that an externally verifiable chain of cus
Record details
Published: 13 August 2026
Source: arXiv cs.CY
Category: Research
Topics: Regulation · Transparency
Retrieved: 13 August 2026
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ethics.ai (13 August 2026), “Silent Updates: Measuring and Closing the Post-Deployment Disclosure Gap,” evidence record 18717, https://ethics.ai/record/18717 (originally published by arXiv cs.CY).
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