> ML_STANDARDS_ATLAS_v1.0
AI Standards & Governance Frameworks
25 qualified AI governance standards and regulatory frameworks: ISO/IEC 42001, NIST AI RMF 1.0, EU AI Act, OWASP LLM Top 10, Model Cards, and Datasheets.
ISO/IEC 42001:2023 — Information Technology: Artificial Intelligence Management System (AIMS)
International Organization for Standardization (ISO) / International Electrotechnical Commission (IEC) · International (ISO / IEC JTC 1/SC 42) · The world's first certifiable international standard establishing requirements for establishing, implementing, maintaining, and continually improving an Artificial Intelligence Management System (AIMS).
NIST AI Risk Management Framework (NIST AI RMF 1.0)
National Institute of Standards and Technology (NIST) · United States & Global Voluntary Reference · Voluntary consensus-based framework structured into four core functions (GOVERN, MAP, MEASURE, MANAGE) to cultivate trustworthy AI and manage socio-technical risks.
EU Artificial Intelligence Act (Regulation 2024/1689) — High-Risk AI Requirements
European Parliament and Council of the European Union · European Union & Global Extraterritorial Effect · Binding regulation imposing mandatory CE-marking conformity requirements for AI systems used in high-risk domains: biometric identification, critical infrastructure, education, employment, and credit scoring.
EU AI Act — General Purpose AI (GPAI) Model Obligations & Systemic Risk Rules
European Union AI Office · European Union & Global Model Providers · Sets binding transparency and copyright requirements for all GPAI models, with heightened systemic risk obligations for foundation models trained on cumulative compute > 10^25 FLOPs.
OWASP Top 10 for Large Language Model Applications (2025 Edition)
Open Web Application Security Project (OWASP Foundation) · Global Cyber Security Standard · Industry-standard vulnerability taxonomy detailing the top 10 security risks in deploying generative AI and LLMs in production systems.
Model Cards for Model Reporting Standard (Mitchell et al. / ACM FAT*)
ACM FAT* / Google / Hugging Face Consortium · International Industry Best Practice · Standardized documentation framework accompanying trained machine learning models, detailing model details, intended use, factors, metrics, and quantitative evaluation.
Datasheets for Datasets Standard (Gebru et al. / CACM)
Communications of the ACM (CACM) / Data Provenance Initiative · International Industry Best Practice · Comprehensive questionnaire standardizing dataset documentation: motivation, composition, collection process, preprocessing, uses, distribution, and maintenance.
SafeTensors Serialization Format Specification
Hugging Face / Rust Foundation · Open Source Consensus Standard · Zero-copy, memory-mapped neural network weight storage format designed to permanently eliminate arbitrary code execution vulnerabilities present in Python pickle files (.bin, .pt).
GGUF Binary File Format Specification (llama.cpp)
llama.cpp Project (Georgi Gerganov) · Open Source Community Standard · Single-file binary format encapsulating model metadata, tokenizer vocabulary, hyper-parameters, and quantized weight tensors (Q4_K, Q8_0, etc.) for cross-platform CPU/GPU inference.
ONNX (Open Neural Network Exchange) Intermediate Representation Specification
LF AI & Data Foundation (Linux Foundation) · International Open Source Standard · Open standard format for representing machine learning models, enabling model interoperability across frameworks (PyTorch, TensorFlow, Scikit-Learn) and execution runtimes.
ISO/IEC 23894:2023 — Guidance on Risk Management for AI
ISO/IEC · International & Regional Jurisdictions · Qualified consensus specification establishing formal compliance requirements for ISO/IEC 23894:2023 — Guidance on Risk Management for AI.
ISO/IEC TR 24029 — Assessment of Robustness of Neural Networks
ISO/IEC · International & Regional Jurisdictions · Qualified consensus specification establishing formal compliance requirements for ISO/IEC TR 24029 — Assessment of Robustness of Neural Networks.
ISO/IEC 22989:2022 — AI Concepts and Terminology
ISO/IEC · International & Regional Jurisdictions · Qualified consensus specification establishing formal compliance requirements for ISO/IEC 22989:2022 — AI Concepts and Terminology.
ISO/IEC 38507:2022 — Governance Implications of the Use of AI by Organizations
ISO/IEC · International & Regional Jurisdictions · Qualified consensus specification establishing formal compliance requirements for ISO/IEC 38507:2022 — Governance Implications of the Use of AI by Organizations.
ISO/IEC 5338:2023 — AI System Life Cycle Processes
ISO/IEC · International & Regional Jurisdictions · Qualified consensus specification establishing formal compliance requirements for ISO/IEC 5338:2023 — AI System Life Cycle Processes.
C2PA Technical Specification — Coalition for Content Provenance and Authenticity
C2PA Coalition · International & Regional Jurisdictions · Qualified consensus specification establishing formal compliance requirements for C2PA Technical Specification — Coalition for Content Provenance and Authenticity.
IEEE 7000-2021 — Model Process for Addressing Ethical Concerns During System Design
IEEE Standards Association · International & Regional Jurisdictions · Qualified consensus specification establishing formal compliance requirements for IEEE 7000-2021 — Model Process for Addressing Ethical Concerns During System Design.
IEEE 2801-2022 — Recommended Practice for the Quality Management of AI Datasets
IEEE Standards Association · International & Regional Jurisdictions · Qualified consensus specification establishing formal compliance requirements for IEEE 2801-2022 — Recommended Practice for the Quality Management of AI Datasets.