AI Safety: Not Optional, Not Later
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Abstract (arXiv)
Incidents show that AI safety failures often arise across multiple layers. We present a safety-by-design assurance architecture combining model-level supervision, such as Scientist AI, with system-level controls over scaffolds and harnesses, independent verification, monitoring, and evidence infrastructure, supported by governance for accountability and evidence interoperability.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). First posted on arXiv 9 Sep 2026.
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