AI system card generator
When you ship an AI system, a system card is how you tell users, regulators, and your own team what it is for, where it should not be used, what could go wrong, and how you tested it. This generator produces a system card in the structured style pioneered by Meta and OpenAI, turning your scattered notes on intended uses, risks, mitigations, and red-teaming into a clean Markdown document you can publish or attach to a deployment.
How it works
You fill in the system’s identity (name, purpose, underlying model, owner), then its intended uses and explicit out-of-scope uses, its known risks each paired with a mitigation, and the evaluations and red-teaming you carried out. The generator assembles these into the canonical system-card sections — overview, intended and out-of-scope uses, risks and mitigations, evaluations, red-teaming findings, and limitations — and renders the whole thing as copy-ready Markdown. Empty sections are flagged with placeholders so reviewers can see what is still missing rather than assuming it was considered.
Tips and notes
- Out-of-scope uses are the most valuable section. Stating clearly what the system should not do is your strongest safety and liability tool — be specific.
- Pair every risk with a mitigation. A risk list without controls reads as a confession; the system-card format expects you to show what you did about each.
- Report red-teaming honestly. Documenting the attacks that succeeded (and how you fixed them) builds far more trust than claiming none were found.
- Version and date the card. Treat it as living documentation that updates with each material model or guardrail change.