Resources/Collections/Technical Standards

Technical Standards

Technical specifications and standards from standards organisations providing practical implementation guidance for AI systems.

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9 Carefully Selected Resources

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Sorted by year and impact

NIST2023

Artificial Intelligence Risk Management Framework (AI RMF 1.0)

Technical Standard

Voluntary framework for managing risks to individuals, organisations, and society associated with AI, developed through consensus-driven collaboration with public and private sectors.

RiskGovernanceSafety
Best for: Enterprise, SME, Public Sector, Researcher
ISO/IEC2023

ISO/IEC 42001:2023 - Artificial Intelligence Management System

Technical Standard

First international standard for AI management systems, providing requirements and guidance for responsible development and use of AI.

GovernanceRiskAccountability
Best for: Enterprise, SME, Public Sector
IEEE2023

IEEE

Technical Standard

A global AI ethics certification program assessing autonomous intelligent systems across transparency, accountability, algorithmic bias, and privacy.

TransparencyPrivacy
Best for: Enterprise, Researcher
National Institute of Standards and Technology (NIST)2023

National Institute of Standards and Technology (NIST)

Technical Standard

A systematic risk management framework released in 2023 providing guidance through four core functions: Govern, Map, Measure, and Manage.

RiskFairnessTransparency
Best for: Enterprise, Researcher
Responsible AI Institute2023

Responsible AI Institute

Technical Standard

The Responsible AI Safety and Effectiveness framework providing practical implementation pathways with over 1,100 controls mapped across 17 global standards.

Risk
Best for: Enterprise, Researcher
International Organization for Standardization (ISO) / International Electrotechnical Commission (IEC)2023

International Organization for Standardization (ISO) / International Electrotechnical Commission (IEC)

Technical Standard

The world's first AI management system standard published in 2023, providing requirements for establishing, implementing, maintaining, and continually improving AI management systems.

Governance
Best for: Enterprise, Researcher
Infocomm Media Development Authority (IMDA), Singapore2022

Infocomm Media Development Authority (IMDA), Singapore

Technical Standard

Singapore's AI governance testing framework and toolkit launched in 2022, providing organizations with tools to validate AI systems against ethical principles.

RiskFairnessTransparency
Best for: Public Sector, Enterprise, Researcher
IEEE Global Initiative2019

Ethically Aligned Design: A Vision for Prioritizing Human Well-being with Autonomous and Intelligent Systems

Technical Standard

Comprehensive framework from IEEE establishing principles and recommendations for human-centric design of autonomous and intelligent systems.

GovernanceHuman OversightTransparency
Best for: Enterprise, SME, Researcher
IEEE2019

IEEE

Technical Standard

A comprehensive 290-page framework providing recommendations for ethical AI development based on five core principles and supported by the P7000 technical standards series.

Transparency
Best for: Enterprise, Researcher
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