Models as Governed Interfaces for AI-Native MBSE: Read-Side Adequacy and Write-Side Admissibility
Machine-readable models such as SysML v2 are now programmatically accessible, and a growing body of work treats that access as the enabling condition for AI participation in systems engineering. Access is necessary, but not sufficient. The remaining work lies not in the modelling language but in the data architecture around it. An AI reader that queries a structurally complete model for a derivation still runs into absent derivation chains, untagged epistemic status, missing provenance, and evidence that the model cannot resolve. Faced with these gaps, it does not abstain; it fills them from training data, a source that is neither verifiable nor governed. To make the case on a model that ...
| Authors | Jason Gower, Michael J. de C. Henshaw, Siyuan Ji |
|---|---|
| Primary category | cs.SE |
| Published | 30 July 2026 |
| Last updated at source | 22 September 2026 |
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