AI Frameworks and Technical Standards
US Frameworks
National Institute for Standards and Technology Artificial Intelligence Risk Management Framework (NIST AI RMF)
MITRE Adversarial Threat Landscape for Artificial-Intelligence Systems (ATLAS)
UK Frameworks
United Kingdom of Great Britain and Northern Ireland Generative AI framework for His Majesty's Government (UK Generative AI framework for HM Government)
Singapore Framework
Advisory Guidelines on Use of Personal Data in AI Recommendation and Decision Systems (Advisory Guidelines)
Model Artificial Intelligence Governance Framework 2nd Edition (AI Governance Framework)
Proposed Model AI Governance Framework for Generative AI (Generative AI Framework)
International Standards
ETSI (European Telecommunications Standards Institute) Securing Artificial Intelligence (SAI)
ISO/IEC 42001:2023 Information Technology Artificial Intelligence Management System (AIMS)
Technical Standards
The IEEE Standards Association has developed several dozen industry-specific technical standards, not enumerated here. Example IEEE standards include but are not limited to:
2894-2024 - IEEE Guide for an Architectural Framework for Explainable Artificial Intelligence
2937-2022 - IEEE Standard for Performance Benchmarking for Artificial Intelligence Server Systems
2941.1-2022 - IEEE Standard for Operator Interfaces of Artificial Intelligence
2941.2-2023 - IEEE Standard for Application Programming Interfaces (APIs) for Deep Learning (DL) Inference Engines
3129-2023 - IEEE Standard for Robustness Testing and Evaluation of Artificial Intelligence (AI)-based Image Recognition Service
3168-2024 - IEEE Standard for Robustness Evaluation Test Methods for a Natural Language Processing Service That Uses Machine Learning
Corporate Frameworks
Aethercloud AISecOps framework, leveraging research-based open source AI test tools
Google's Secure AI Framework (SAIF)
Corporate Standards
EU Frameworks
General-Purpose AI Code of Practice details the AI Act rules for providers of general-purpose AI models and general-purpose AI models with systemic risks.