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33[ ![ NIST AI RMF] ( https://img.shields.io/badge/NIST%20AI%20RMF-Aligned-0055A4?style=flat-square )] ( https://airc.nist.gov/home )
44[ ![ License: MIT] ( https://img.shields.io/badge/License-MIT-yellow.svg?style=flat-square )] ( LICENSE )
5- [ ![ Discussions] ( https://img.shields.io/badge/Discussions-Join-7289da?style=flat-square&logo=github )] ( https://github.com/simaba/ai- accountability-design -patterns/discussions )
5+ [ ![ Discussions] ( https://img.shields.io/badge/Discussions-Join-7289da?style=flat-square&logo=github )] ( https://github.com/simaba/accountability-patterns/discussions )
66
77A catalog of design patterns for building accountable AI systems in regulated industries.
88Each pattern provides a problem statement, solution structure, implementation guidance,
@@ -72,10 +72,10 @@ pattern to NIST AI RMF functions and subcategories.
7272
7373| Repository | Purpose |
7474| ---| ---|
75- | [ enterprise-ai-governance-playbook] ( https://github.com/simaba/enterprise-ai- governance-playbook ) | End-to-end governance playbook |
76- | [ ai-release-readiness-checklist] ( https://github.com/simaba/ai- release-readiness -checklist ) | Release gate framework + CLI |
75+ | [ enterprise-ai-governance-playbook] ( https://github.com/simaba/governance-playbook ) | End-to-end governance playbook |
76+ | [ ai-release-readiness-checklist] ( https://github.com/simaba/release-checklist ) | Release gate framework + CLI |
7777| [ ai-risk-taxonomy] ( https://github.com/simaba/ai-risk-taxonomy ) | Structured AI risk taxonomy |
78- | [ nist-ai-rmf-implementation-guide] ( https://github.com/simaba/nist-ai- rmf-implementation -guide ) | NIST AI RMF practitioner guide |
79- | [ awesome-ai-governance] ( https://github.com/simaba/awesome- ai-governance ) | Curated governance resources |
78+ | [ nist-ai-rmf-implementation-guide] ( https://github.com/simaba/nist-rmf-guide ) | NIST AI RMF practitioner guide |
79+ | [ awesome-ai-governance] ( https://github.com/simaba/ai-prism ) | Curated governance resources |
8080
8181* Maintained by [ Sima Bagheri] ( https://github.com/simaba ) · Connect on [ LinkedIn] ( https://www.linkedin.com/in/simaba/ ) *
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