Haccp for AI: An Auditable Self-Control Standard for Artificial Intelligence
The paper proposes adapting the Hazard Analysis and Critical Control Points (HACCP) framework to provide a process‑control layer for AI governance. Version 4.0 shifts the unit of governance to the organization’s own plan, introduces a three‑tier structure and distinguishes critical, operational, and indicator limits. It supplies a twelve‑step codex, hazard taxonomy, control‑point catalogue, and mappings to ISO/IEC 42001, the EU AI Act, and the NIST framework while noting a metrological gap in capability evaluation.
- ▪HACCP is introduced as a process‑control layer to address missing control points in existing AI risk frameworks.
- ▪Version 4.0 moves governance from international regimes to a self‑control standard and adds a three‑tier structure with proportionality rules.
- ▪The paper defines three types of limits—critical, operational, and indicator thresholds—and reclassifies compute thresholds accordingly.
- ▪It provides a twelve‑step Codex sequence, hazard taxonomy, control‑point decision tree, and auditor’s checklist linked to existing standards.
- ▪The authors highlight the lack of a metrological standard analogous to ISO/IEC 17025 for AI capability evaluation.
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| Original publisher | Zenodo |
| Canonical URL | https://zenodo.org/records/21710254 |
| Publication time | Fri, 31 Jul 2026 10:17:12 +0000 |
| Retrieval time | 2026-07-31T10:22:38.414Z |
| Last seen | 2026-07-31T10:22:38.414Z |
| Headline source | Publisher (no WeSearch rewrite) |
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| Summary source text | contentText |
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| Cluster | KS_HCSn9rtHI · 1 stories |
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| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
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| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Published July 30, 2026 | Version 4.0 Working paper Open HACCP for AI: An Auditable Self-Control Standard for Artificial Intelligence Authors/Creators Paciaroni, Simone1 Show affiliations 1. AXIX® / HACCP.ai Description Almost every serious instrument in AI governance now requires an organisation to run a risk process. None of them tells the organisation where in its own lifecycle the control points sit, what measurable limit applies at each one, what happens automatically when a limit is breached, or who is competent to verify the measurement. That layer — process control — is missing, and it is the layer on which everything else depends. A management system without control points produces documentation; it does not produce safety.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Zenodo.