Evaluate and Govern AI Safeguards
Checklist for evaluating, governing, and disclosing AI safeguards for advanced capabilities.
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Assessing and preparing for frontier AI capabilities.
A checklist to guide the evaluation, governance, and disclosure of safeguards for advanced AI capabilities. It ensures risks are identified, minimized, and managed through clear operational guidance and transparent reporting.
Provides a structured approach to safety by focusing on risk identification, minimization requirements, operational execution, governance, and transparency.
- Our updated Preparedness Framework ↗OpenAI · OpenAI News · Apr 14, 2025 · paraphrased
First seen on Subvolts Apr 14, 2025. Updated Sep 11, 2026. Spotted a problem? Tell us.
- Our updated Preparedness FrameworkOpenAI · OpenAI News · Apr 14, 2025
The Playbook: reusable how-tos, prompts, configs and tips pulled out of the news.
- Eval methodMethod for evaluating potential discriminatory impact of LMsUse an LM to generate prompts across scenarios, varying demographics to find discrimination. · 60 min
- HeuristicDefense-in-depth for AI cybersecurity safeguardsLayered security approach for AI models to balance risk and empower defenders. · 5 min
- Anti-patternRefusal-based safety training for dual-use promptsAvoid binary comply/refuse decisions for prompts with unclear intent; this can be unhelpful or unexpectedly dangerous. · 5 min
- Anti-patternMisconfiguring AI environments for cybersecurity evaluationsDo not tell models they are in a simulation if they are connected to the real internet. · 5 min
- ChecklistCheck AI model safety evidence acquisition policiesEvaluate how AI models seek safety information before acting using a controlled benchmark. · 120 min
- ChecklistAI model containment and transparency checklistEnsure AI models are transparent, observable, and have tamper-proof evidence of their actions. · 30 min
Questions people ask
- Which AI tools does this work with?
- Any current model. It was seen with in the sources.
- Where did this come from?
- OpenAI (OpenAI News). Subvolts collected, normalized and credited it; the link above opens the original.

