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kanaria007
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updated a dataset about 12 hours ago
kanaria007/agi-structural-intelligence-protocols
posted an update about 12 hours ago
✅ New Article: *Auditable AI by Construction* (v0.1) Title: 🧾 Auditable AI by Construction: SI-Core for Regulators and Auditors 🔗 https://huggingface.co/blog/kanaria007/auditable-ai-for-regulators --- Summary: Most “AI governance” advice still assumes you can bolt audits on after the fact. This note takes the opposite stance: **make auditability a runtime property**. Regulators usually want two things: * a **control plane** (“where do we push STOP / SAFE-MODE / MORE AUDIT?”) * **evidence** (“what exactly happened, and can you prove it?”) This article explains how **SI-Core invariants** turn those into *first-class* system surfaces—so an incident review becomes routine, not heroic. --- Why It Matters: • Moves “transparency” from PDFs to **cryptographically chained operational traces** • Makes **policy enforcement inspectable** (which rule/version was applied, to which action) • Treats rollback as a **governance primitive** (how far back can you put the world?) • Shows how to balance **auditability + erasure** via GDPR-style ethical redaction patterns --- What’s Inside: **Audit invariants (regulator language):** observation gating, identity/origin, ethics overlay decisions, risk gating, append-only memory, rollback maturity levels **Evidence model:** structured “what it knew / why it chose / what it did” histories (not token soup) **Metrics auditors can actually ask for:** determinism/stability, ethics enforcement availability, audit completeness, rollback latency/integrity, contradiction rates **Compliance bridges (illustrative):** how the same runtime hooks map across GDPR, sector rules, and ISO-style regimes --- 📖 Structured Intelligence Engineering Series Not a new law. A runtime architecture for answering law-like questions with evidence.
published an article about 12 hours ago
Auditable AI by Construction: SI-Core for Regulators and Auditors
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