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Research record · AI systems engineering

Reliable intelligent systems

How should autonomous software expose uncertainty, failure modes, and verification boundaries instead of hiding them behind confident outputs?

AI systems engineering

Reliable intelligent systems

Research record

Question

Research question

How should autonomous software expose uncertainty, failure modes, and verification boundaries instead of hiding them behind confident outputs?

Related work

Experiment

Execution-validation pass

Generated code is executed for syntax, import, and smoke-test checks.

SYS-01 · Open record →

Evidence

Recorded outputs

ValidationSyntax / import / smoke test
Output classesMeasured vs inferred
Security boundaryNot claimed

This is a validation pattern, not proof of safe autonomous software.

Conclusion

Current conclusion

Model output and measured execution are different evidence classes. Verification begins when generated work is executed against defined checks.

Next question

What I would test next

What isolation, reproducibility, and adversarial testing are required before generated engineering code can be safely reused?

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