Silent Updates: Measuring and Closing the Post-Deployment Disclosure Gap
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 custody links the model referred to in evaluation r
Record details
Published: 12 August 2026
Source: arXiv
Category: Research
Topics: Regulation · Transparency
Retrieved: 13 August 2026
Related evidence
These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.
Silent Updates: Measuring and Closing the Post-Deployment Disclosure Gap
arXiv cs.CY · 13 August 2026
Toward Meaningful Transparency for AI Chatbots: Disclosing Persuasive Intent Reduces Persuasion
arXiv cs.HC · 12 August 2026
Beyond Memory: A Transactional Continuity Kernel for Long-Lived AI Agents
arXiv · 12 August 2026
Who Gets Heeded? An Obligation-Level Audit of Responsiveness in EPA Rulemaking
arXiv cs.CY · 12 August 2026
Co-constructing sociotechnical AI governance: participatory system mapping using algorithm registers
arXiv · 12 August 2026
Dual Spatial-Temporal Attribution: Architecture-Aligned Post-Hoc Explainability for Recurrent Graph Anomaly Detection
arXiv cs.LG · 12 August 2026
How to cite this record
ethics.ai (12 August 2026), “Silent Updates: Measuring and Closing the Post-Deployment Disclosure Gap,” evidence record 18788, https://ethics.ai/record/18788 (originally published by arXiv).
Use and limitations
This page is a stable index and citation surface for a source record. ethics.ai did not author the underlying report and has not independently verified every claim. Automatic topics may be imperfect. For consequential use, quote and cite the original publisher.