The document discloses that OpenAI published an updated Preparedness Framework on April 15, 2025, which governs how the company evaluates and manages safety risks associated with its AI models prior to and during deployment.
This analysis describes what OpenAI's agreement states, permits, or reserves. It does not constitute a legal determination about enforceability. Regulatory applicability and practical outcomes may vary by jurisdiction, enforcement context, and individual circumstances. Read our methodology
The updated Preparedness Framework represents the primary governance instrument through which OpenAI structures its pre-deployment safety evaluations. Organizations deploying OpenAI models in regulated contexts should review this document to assess whether their internal AI governance policies align with OpenAI's current safety tier classifications and evaluation criteria.
Interpretive note: The document references the Preparedness Framework by title and date but does not reproduce its contents, so the specific obligations and classifications it establishes cannot be evaluated from this page alone.
The Preparedness Framework establishes OpenAI's internal process for evaluating model risks before deployment. Under this framework, users and deployers interact with models that have been assessed against OpenAI's safety criteria, though the document does not specify how framework outcomes translate into product-level restrictions or user-facing disclosures.
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(1) REGULATORY LANDSCAPE: The Preparedness Framework engages with the EU AI Act's requirements for risk classification and conformity assessment of general-purpose AI models, as well as NIST AI Risk Management Framework standards.
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The updated Preparedness Framework represents the primary governance instrument through which OpenAI structures its pre-deployment safety evaluations. Organizations deploying OpenAI models in regulated contexts should review this document to assess whether their internal AI governance policies align with OpenAI's current safety tier classifications and evaluation criteria.
The Preparedness Framework establishes OpenAI's internal process for evaluating model risks before deployment. Under this framework, users and deployers interact with models that have been assessed against OpenAI's safety criteria, though the document does not specify how framework outcomes translate into product-level restrictions or user-facing disclosures.
No. ConductAtlas is an independent monitoring service. We are not affiliated with, endorsed by, or sponsored by OpenAI.