OpenAI Preparedness Framework is a Voluntary code from US, adopted on 2023-12-18 and effective 2023-12-18. Current status: In force. Capability-tier risk evaluation regime with four categorical levels (Low / Medium / High / Critical) across four risk categories (cybersecurity, CBRN, persuasion, model autonomy). Pre-deployment evaluation against the framework gates release decisions; Safety Advisory Group + board-level Safety & Security Committee govern threshold determinations. Seoul Frontier AI Safety Commitments signatory.
Scope and obligations
Capability-tier risk evaluation regime with four categorical levels (Low / Medium / High / Critical) across four risk categories (cybersecurity, CBRN, persuasion, model autonomy). Pre-deployment evaluation against the framework gates release decisions; Safety Advisory Group + board-level Safety & Security Committee govern threshold determinations. Seoul Frontier AI Safety Commitments signatory.
OpenAI Preparedness Framework addresses 2 contested AI-governance topics explicitly, 3 via general principles,.
Topics governed
- governsFoundation Models / GPAI— Preparedness Framework §1-2 — applies to all OpenAI frontier-model releases
- implicitCompute-Threshold Reporting— Capability-tier evaluations are the primary trigger; compute is a coincident signal
- implicitTransparency Obligations— Public Preparedness Reports + Safety Advisory Group decisions; full evaluation methodology partially disclosed
- governsCatastrophic & Existential Risk— Preparedness Framework risk-tier matrix — Critical tier explicitly targets CBRN, cyber, persuasion, autonomy
- implicitInternational Coordination— Seoul Frontier AI Safety Commitments signatory; pre-deployment evaluation sharing with US + UK AISIs
Cross-jurisdiction comparison
How peer instruments treat the topics OpenAI Preparedness Framework governs.
| Topic | EU-AIA-2024 | US-EO-14110 | US-EO-14179 | UK-WHITEPAPER-2023 | CN-GENAI-2023 | G7-HIROSHIMA | OECD-AI-PRIN | COE-AI-CONV | UN-RES-2024 | NIST-AI-RMF | BLETCHLEY-2023 | SEOUL-2024 | NIST-AI-RMF-GENAI | CA-SB-1047 | IN-DPDP-2023 | BR-AIBILL-2024 | ASEAN-AI-GUIDE-2024 | AU-AI-STRATEGY-2024 | ANTHROPIC-RSP-2024 | DEEPMIND-FSF-2024 | META-FRONTIER-2024 | UK-US-AISI-MOU-2024 | WH-VOLUNTARY-2023 | SG-MODEL-AI-2024 | JP-METI-AI-2024 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Foundation Models / GPAI | governs | governs | silent | implicit | governs | governs | implicit | implicit | silent | governs | governs | governs | governs | governs | implicit | governs | implicit | silent | governs | governs | governs | governs | governs | governs | governs |
| Catastrophic & Existential Risk | implicit | governs | silent | implicit | silent | governs | silent | silent | implicit | implicit | governs | governs | governs | governs | silent | governs | silent | silent | governs | governs | governs | implicit | implicit | silent | silent |
How to cite this article
APA 7
Policy Window. (2023). OpenAI Preparedness Framework [Wiki article]. https://policywindow.org/wiki/openai-preparedness
Chicago 17
Policy Window. 2023. "OpenAI Preparedness Framework." Wiki article. https://policywindow.org/wiki/openai-preparedness.
BibTeX
@misc{policywindow-openai-preparedness,
title = {OpenAI Preparedness Framework},
author = {Policy Window},
year = {2023},
howpublished = {OpenAI Preparedness Framework (Dec 2023)},
url = {https://policywindow.org/wiki/openai-preparedness},
note = {Primary source: https://openai.com/safety/preparedness}
}Related instruments
- Executive Order 14110 on Safe, Secure, Trustworthy AI · US
- G7 Hiroshima AI Process Code of Conduct · G7
- Bletchley Declaration on AI Safety · global
- Seoul Declaration on Safe, Innovative and Inclusive AI · global
- NIST AI RMF Generative AI Profile · US
- California SB-1047: Safe and Secure Innovation for Frontier AI Models Act · US
- Brazil AI Bill (PL 2338/2023) · BR
- Anthropic Responsible Scaling Policy (RSP) v2 · US
- Google DeepMind Frontier Safety Framework · US
- Meta Frontier AI Framework · US
References
- OpenAI Preparedness Framework (Dec 2023)
- Preparedness Framework §1-2 — applies to all OpenAI frontier-model releases
- Capability-tier evaluations are the primary trigger; compute is a coincident signal
- Public Preparedness Reports + Safety Advisory Group decisions; full evaluation methodology partially disclosed
- Preparedness Framework risk-tier matrix — Critical tier explicitly targets CBRN, cyber, persuasion, autonomy
- Seoul Frontier AI Safety Commitments signatory; pre-deployment evaluation sharing with US + UK AISIs
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