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NIST AI RMF vs DoW RAI S&IP: how they differ, side by side
How NIST AI RMF and DoW RAI S&IP differ: what each is, who owes it, when it applies and who enforces it.
01 / Side by side
NIST AI RMF and DoW RAI S&IP, side by side
| NIST AI RMF | DoW RAI S&IP | |
|---|---|---|
| What it is | voluntary framework | guidance |
| Jurisdiction | United States (federal) | United States (federal) |
| Legal force | Voluntary framework | Internal departmental strategy; directs DoD components, no direct duty on contractors |
| Status | Published standard | In force |
| Applies from | 26 Jan 2023 | June 2022 |
| Who owes it | Any organization that designs, develops, deploys, evaluates or uses AI systems and chooses to adopt it; no one is required to by the framework itself. | DoD (styled Department of War since September 2025) components and the Chief Digital and AI Officer (CDAO), which leads Responsible AI implementation. |
| Enforcement | None; voluntary. Contracts, agency policies or other laws may reference it. | Internal DoD oversight by CDAO and component leadership; GAO and Congress review implementation. No penalties. |
02 / NIST AI RMF
What NIST AI RMF requires
AI-specific. It addresses risks such as validity, reliability, safety, security, accountability, explainability, privacy and harmful bias in AI systems across their lifecycle.
- 01GOVERN: set policies, accountability, culture and third-party controls for AI risk across the organization.
- 02MAP: establish each AI system's context, purpose, categorization, benefits, costs and impacts.
- 03MEASURE: select metrics and test, evaluate, verify and validate AI systems for trustworthiness characteristics; track risks over time.
- 04MANAGE: prioritize and treat AI risks, manage third-party risk, and monitor deployed systems with response and recovery plans.
- 05Optionally build use-case or sector profiles that select and tailor the subcategories that matter.
03 / DoW RAI S&IP
What DoW RAI S&IP requires
AI-specific. It is DoD's main plan for putting AI ethics into practice for AI systems the department builds, buys and fields.
- 01Apply the DoD AI Ethical Principles (responsible, equitable, traceable, reliable, governable) across the AI lifecycle.
- 02Designate Responsible AI leads in each DoD component and resource the lines of effort assigned to that component.
- 03CDAO provides department-wide Responsible AI guidance, tools and coordination, and tracks implementation progress.
- 04Build warfighter trust through test and evaluation, assessment and monitoring of AI capabilities.
- 05Integrate Responsible AI into AI product development and acquisition, including requirements validation.
- 06Develop metrics for Responsible AI adoption and report progress to the CDAO governing council.
Optional evidence · where Planisphere fits
Keep a record anyone can check
When your team meets a duty, Planisphere can seal the event it reports as a receipt.
A disclosure shown, a review signed, a model change approved: the event your system reports.
The event becomes a sealed receipt, dated and attributed to whoever is signed in.
Paste the receipt into Verify. No account or key.
A record supports your compliance evidence process. It is not a legal finding or a certification. Systems that call Planisphere's gate API can also hold or refuse an action before it runs.
SOURCES
Go back to the source
National Institute of Standards and Technology
National Institute of Standards and Technology
NIST Trustworthy and Responsible AI Resource Center
U.S. Department of Defense
U.S. Government Accountability Office
Chief Digital and AI Office, hosted by Tradewinds
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