HAiPECR — Human-AI Pre-deployment Evidence & Certification Record

HAiPECR — Human-AI Pre-deployment Evidence & Certification Record

HAiPECR — Human-AI Pre-deployment Evidence & Certification Record — 57% of in-scope requirements covered.

8 requirements · 7 in scope (1 enforced · 6 designed) · 1 out-of-scope (outside KYE™’s authority layer). The 57% is weighted over the in-scope base.

Source: Human-AI Institute / Markus Krebsz — HAiPECR (Human-AI Pre-deployment Evidence & Certification Record); listed on the OECD Catalogue of Tools & Metrics for Trustworthy AI (April 2023); aligned to UNECE ECE/TRADE/486 human-centric trade/standards guidance. · License: HAiPECR is an expert governance framework authored by Markus Krebsz / the Human-AI Institute. The KYE™ registry paraphrases each dimension's runtime-facing intent and cites the framework for mapping purposes only; it does not reproduce the framework text.

By category

CategoryReqsEnforcedDesignedAdvisoryDeferredCoverage
Dimension — accountability 1 1 0 0 0 100%
Dimension — human oversight 1 0 1 0 0 50%
Dimension — transparency & explainability 1 0 1 0 0 50%
Dimension — privacy & data 1 0 1 0 0 50%
Dimension — compliance & legal 1 0 1 0 0 50%
Dimension — resilience & security 1 0 1 0 0 50%
Deploy-gate verdict consumption 1 0 1 0 0 50%
Dimension — ethics & fairness 1 0 0 0 0 0%

Every requirement → the KYE™ artefact that enforces it

IDTitleStatusKYE™ enforcement
haipecr.accountability HAiPECR dimension — Accountability: a named, accountable owner is on record for the AI system before deployment enforced engines: internal
audit_events: kye.purpose.request.v1
constitution_refs: constitution/00-INDEX.md
haipecr.human-oversight HAiPECR dimension — Human oversight: a human can oversee, intervene in, and halt the AI system's actions designed engines: internal, internal
audit_events: kye.purpose.admissibility.v1
constitution_refs: constitution/36-GOVERNEDUI.md
haipecr.transparency-explainability HAiPECR dimension — Transparency & explainability: the reasons for a consequential AI decision are recorded and explainable designed engines: internal, internal
audit_events: kye.evidence.decision_map.v1
constitution_refs: constitution/13-RESILIENCE-LOOP.md
haipecr.privacy-data HAiPECR dimension — Privacy & data: personal-data use by the AI system has a lawful basis and is admissibility-checked at the moment of use designed engines: internal
audit_events: kye.purpose.admissibility.v1
constitution_refs: constitution/31-DATA-GOVERNANCE-PACK.md, constitution/63-MEMORY-AUTHORITY-RAIL.md
haipecr.resilience-security HAiPECR dimension — Resilience & security: the system behaves provably under degradation and has no single point of failure in its authority path designed engines: internal
audit_events: kye.evidence.pack.v1
constitution_refs: constitution/13-RESILIENCE-LOOP.md, constitution/51-NO-SPOF.md
haipecr.deploy-gate-verdict-consumption The HAiPECR deploy verdict is consumed as an action policy — a do-not-deploy verdict denies all consequential actions for that system designed engines: internal, internal
audit_events: kye.purpose.admissibility.v1
constitution_refs: constitution/70-FRAMEWORK-MAPPING-RAIL.md, constitution/12-PURPOSE-PERMISSION.md
haipecr.ethics-fairness HAiPECR dimension — Ethics & fairness: scoring the ethical acceptability and fairness of the AI model's behaviour out-of-scope (no enforcement cited)