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From Model Assurance to Causal Answerability: A Multi-Timescale Information Architecture for Governed Agentic AI

2026-07-21

Abstract excerpt

Agentic artificial intelligence turns model outputs into state-changing commitments, making model-level evaluation necessary but insufficient for governance. This article develops a causal answerability architecture that connects three timescales: pre-deployment capability assurance, in-actu admissibility control, and post-action consequence reconciliation. An integrative design-science synthesis draws on cybernet...

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Literature Corpus work
ad877be0-aa9e-5099-8f07-a7cfb29b79f1
DOI
10.20944/preprints202607.1556.v1
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