Confidently Wrong, Silently So: Auditing Undetectable Failures of a Deployed On-Device Language Model
Aligning deployed language models requires knowing when their outputs can be trusted, yet on-device models now ship to hundreds of millions of devices with no server-side moderation, and the configuration developers can actually deploy is rarely audited independently. We present a reproducible reliability audit of the developer-accessible on-device foundation model, framed as an oversight question: can a user or a resource-constrained developer tell when the model is wrong? Red-teaming it on calibration, confident confabulation on false-premise questions, and over-refusal of benign prompts, we find a \emph{task-asymmetric miscalibration}: its guardrails fail in opposite directions across ...
| Authors | Shashwat Pandey, Satwik Pandey, Suresh Raghu |
|---|---|
| Primary category | cs.SE |
| Published | 24 August 2026 |
| Last updated at source | 26 August 2026 |
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