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Verified Autonomy alignment — tracking issue #27
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layer-1Layer 1 — Inverse Confidence WeightingLayer 1 — Inverse Confidence Weightinglayer-2Layer 2 — Outlier Detection as Hard EscalationLayer 2 — Outlier Detection as Hard Escalationlayer-3Layer 3 — Making Failures VisibleLayer 3 — Making Failures Visiblelayer-4Layer 4 — Calibration and Conformal PredictionLayer 4 — Calibration and Conformal Predictionlayer-5Layer 5 — Deterministic GuardrailsLayer 5 — Deterministic Guardrailslayer-6Layer 6 — RAG as ExplainabilityLayer 6 — RAG as Explainabilitylayer-7Layer 7 — Adversarial TestingLayer 7 — Adversarial Testinglayer-8Layer 8 — Cryptographic Audit TrailsLayer 8 — Cryptographic Audit Trailslayer-9Layer 9 — Formal VerificationLayer 9 — Formal Verificationverified-autonomyVerified Autonomy alignment work (umbrella label)Verified Autonomy alignment work (umbrella label)
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layer-1Layer 1 — Inverse Confidence WeightingLayer 1 — Inverse Confidence Weightinglayer-2Layer 2 — Outlier Detection as Hard EscalationLayer 2 — Outlier Detection as Hard Escalationlayer-3Layer 3 — Making Failures VisibleLayer 3 — Making Failures Visiblelayer-4Layer 4 — Calibration and Conformal PredictionLayer 4 — Calibration and Conformal Predictionlayer-5Layer 5 — Deterministic GuardrailsLayer 5 — Deterministic Guardrailslayer-6Layer 6 — RAG as ExplainabilityLayer 6 — RAG as Explainabilitylayer-7Layer 7 — Adversarial TestingLayer 7 — Adversarial Testinglayer-8Layer 8 — Cryptographic Audit TrailsLayer 8 — Cryptographic Audit Trailslayer-9Layer 9 — Formal VerificationLayer 9 — Formal Verificationverified-autonomyVerified Autonomy alignment work (umbrella label)Verified Autonomy alignment work (umbrella label)
Tracking issue for the Verified Autonomy gap-closure work.
Source paper: Newman et al., Verified Autonomy: A Field Guide to Engineering Trust in AI Systems, May 2026.
DOI: 10.5281/zenodo.19096229
Gap analysis: see
PDA-platform-gap-analysis-verified-autonomy.docxin the repo root, and the plan at~/.claude/plans/serene-sleeping-globe.md.Summary. The paper presents a nine-layer defence-in-depth architecture for engineering trust in AI systems. PDA Platform is cited as the production reference for Layers 1, 2, and 3, with partial gaps where the paper-grade architecture is not surfaced to consumers. Layers 4, 6, 7 are absent. Layers 5 and 8 have substantive primitives but with scope gaps (Layer 5 has no rule-engine gate between AI-authored output and consumer; Layer 8's hash chain only covers NISTA submissions).
This issue tracks 37 child issues across two phases:
Conventions
dev; PR todev; never push tomain.antnewman <antjsnewman@outlook.com>. NeverCo-Authored-By: Claude.Progress
(Child issues are added to the task list below by
scripts/create_va_issues.py.)Phase 2 — Foundations
Phase 3 — Integrations