Tools for DoD Responsible AI
Listed tools whose cited public page names this framework. Read the DoD Responsible AI explainer first. Related reading is on the articles index.
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CDAO AI Assurance (AIA) Toolkit
CDAO self-evaluation toolkit that operationalizes DoW AI Ethical Principles. Released November 2023 as the RAI Toolkit; the live Tradewinds page titles it AIA Toolkit. For Program Managers, AI Developers, Acquisition Teams, Legal/Compliance and End Users; IL2 and IL5.
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CDAO Joint AI Test Infrastructure Capability (JATIC)
CDAO program (funded FY23–FY29) of Python AI T&E libraries, the RAVEN MLOps platform and the maite types/protocols. Focused on CV classification and object detection for UAV, satellite and autonomous-driving missions. Public packages on GitHub, Conda and PyPI. Not a certification.
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CDAO Test and Evaluation of Artificial Intelligence Models Framework
April 2024 public CDAO primer on what to consider in a T&E strategy for AI models in a Defense context. Four focus areas, a performance iceberg beyond correctness, and named links to the DoD Ethical AI Principles and NIST AI RMF. Explicitly not binding policy.
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Hugging Face Model Cards
Hub model cards are README.md files with YAML metadata (license, datasets, library_name, pipeline_tag, model-index evals). CDAO's Generative AI RAI Toolkit names the Hugging Face model-card template as a documentation tool for traceability.
Official documents and working-group pages
These are the primary public pages we cite for DoD Responsible AI. They are not directory listings and are not endorsements.
- DOD Adopts Ethical Principles for Artificial Intelligence - Department of War
- CDAO Releases Responsible AI (RAI) Toolkit - Department of War
- Responsible AI Toolkit (CDAO, 14 Nov 2023) - CDAO
- RAI Toolkit | Tradewinds - CDAO / Tradewinds
- AIA Toolkit | Tradewinds - CDAO / Tradewinds
Related articles
- CDAO RAI Toolkit versus Tradewinds AIA Toolkit
- Choosing AI red-teaming tools for safety-critical programs
- DoD 3000.09 compliance checklist for autonomy vendors
- DoD RAI Implementation Pathway: what the 64 lines of effort ask industry
- ISO 42001 vs NIST AI RMF for defense contractors
- NIST AI 100-2 adversarial ML terms for defense T&E
- An AI assurance glossary for aerospace and defense
- An AI audit evidence checklist for regulated programs
- AI incident reporting: EU AI Act Article 73 vs DoD guidance
- AI red-teaming requirements for defense programs
- Army, Navy and Air Force AI policies that name acquisition
- Autonomy and DoD Directive 3000.09 explained
- CDAO test and evaluation of Artificial Intelligence models
- Supplier flow-down clauses for SI/AI in defense contracts
- DoD RAI Toolkit vs NIST AI RMF: what each one is for
- FAA proposed Part 108 BVLOS and DoD Directive 3000.09
- FedRAMP and IL levels for AI SaaS in defense
- Human-machine teaming in DoD and NATO guidance
- Japan MOD AI utilization policy and ATLA responsible AI R&D guideline
- Model cards and system cards for defense AI documentation
- NIST AI 600-1 (Generative AI Profile) for defense contractors
- NIST AI 600-1 suggested actions for generative AI on a defense program
- UK MOD JSP 936 vs DoD Responsible AI
Questions
Why are there so few commercial tools tagged for DoD Responsible AI?
We only tag a tool when the cited public page names this framework (or, for SAE G-34, EUROCAE WG-114, ED-324 or ARP6983). We do not infer support from a related aviation standard.
Where are the official DoD Responsible AI documents?
The official documents and working-group pages are listed on this page and on the DoD Responsible AI explainer.