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Global Standards for Responsible AI Development

Understand how international standards bodies like ISO, IEEE, and CEN contribute to unified safety frameworks for AI safety, trust, and regulatory compliance.

Regulatory Standards in AI

Standards are formal, established guidelines designed to ensure consistency, safety, and quality across industries. In the context of AI, standards play a vital role in shaping how AI systems are developed, deployed, and governed. They provide clear requirements that can guide organizations in ensuring that their AI technologies align with broader goals of safety, fairness, and transparency. For AI policy makers, standards are an indispensable tool in crafting policies that support responsible AI governance and reduce risks related to AI development.

By adhering to international standards, organizations can better navigate the evolving regulatory landscape and avoid potential legal and reputational risks. These standards help foster trust among users, regulators, and competitors, ensuring that AI systems operate in a reliable and transparent manner.

Incorporating standards into AI policy early on ensures that policies remain flexible enough to adapt to future regulations. Standards offer policy makers a clear path to ensure that AI systems meet certain criteria for safety, fairness, and accountability. They also promote collaboration between AI developers, researchers, and regulators by providing a common language and set of expectations.

Global AI Standards

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Navigating AI Management: ISO/IEC 42001 Guide for Businesses
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Navigating AI Management: ISO/IEC 42001 Guide for Businesses

Explore ISO/IEC 42001 for AI management. Learn how businesses can navigate AI governance, risk, and compliance effectively.

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ISO/IEC 22989:2022
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ISO/IEC 22989:2022

A standard for AI terminology

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ISO-IEC 23894:2023
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ISO-IEC 23894:2023

A standard for AI-related risk management

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ISO/IEC TR 24027
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ISO/IEC TR 24027

This standard provides methods for assessing and mitigating bias within AI systems.

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ISO/IEC TR 24028:2020
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ISO/IEC TR 24028:2020

This standard establishes an approach for measuring the trustworthiness of AI systems.

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ISO/IEC TR 24029-1:2021
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ISO/IEC TR 24029-1:2021

This standard provides a guide to assessing the robustness of an AI system, with a particular focus on neural networks.

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ISO-IEC 23053:2022
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ISO-IEC 23053:2022

A standard for describing AI systems with Machine Learning

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ISO-IEC 25059:2023
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ISO-IEC 25059:2023

A standard for Systems and software Quality Requirements and Evaluation (SQuaRE)

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ISO/IEC 27701:2019
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ISO/IEC 27701:2019

A standard for developing a Privacy Information Management Systems (PIMS)

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ISO/IEC 27001:2022
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ISO/IEC 27001:2022

A standard for Information Security Management Systems (ISMS)

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ISO/IEC 38507:2022
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ISO/IEC 38507:2022

A standard for AI governance within organizations

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COBIT Framework: The Gold Standard for AI Governance
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COBIT Framework: The Gold Standard for AI Governance

Explore COBIT Standard for Artificial Intelligence.

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ISO IEC 27002: Essential Security Controls for AI Systems
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ISO IEC 27002: Essential Security Controls for AI Systems

Explore ISO/IEC 27002 for Artificial Intelligence.

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ISO IEC 25012: The Foundation for Trustworthy AI Systems
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ISO IEC 25012: The Foundation for Trustworthy AI Systems

Explore ISO/IEC 25012 for Artificial Intelligence.

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ISO IEC 5259-1: Key to Data Quality in Machine Learning
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ISO IEC 5259-1: Key to Data Quality in Machine Learning

A standard for data quality in machine learning (ML)

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ISO IEC 5259-2: Data Quality Framework for Compliant AI
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ISO IEC 5259-2: Data Quality Framework for Compliant AI

A standard for data quality in machine learning (ML)

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ISO/IEC 5259-3: Enhance AI Performance with Quality Data
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ISO/IEC 5259-3: Enhance AI Performance with Quality Data

A standard for data quality in machine learning (ML)

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ISO-IEC 5259-4:2024
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ISO-IEC 5259-4:2024

A standard for data quality in machine learning (ML)

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ISO/IEC 5259-5: Data Quality Governance Framework for AI/ML
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ISO/IEC 5259-5: Data Quality Governance Framework for AI/ML

A standard for data quality in machine learning (ML)

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ISO IEC TS 22440: Building Trustworthy AI Applications
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ISO IEC TS 22440: Building Trustworthy AI Applications

Explore ISO/IEC TS 22440 for Artificial Intelligence.

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ISO/IEC TR 24368:2022
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ISO/IEC TR 24368:2022

A standard that overviews ethical and societal concerns for AI

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ISO 9001 for Artificial Intelligence
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ISO 9001 for Artificial Intelligence

Explore ISO 9001 for Artificial Intelligence.

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ISO 22301 for AI: Framework for AI Business Continuity
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ISO 22301 for AI: Framework for AI Business Continuity

Explore ISO 22301 for Artificial Intelligence.

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Green AI: ISO 14001 Environmental Management Framework
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Green AI: ISO 14001 Environmental Management Framework

Explore ISO 14001 for Artificial Intelligence.

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IEC 38500: Essential Framework for AI Governance
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IEC 38500: Essential Framework for AI Governance

Explore IEC 38500 for Artificial Intelligence.

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ISO 19157: Data Quality Framework for AI Systems
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ISO 19157: Data Quality Framework for AI Systems

Explore ISO 19157 for Artificial Intelligence.

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IEC 82304-1: Essential Standard for AI Healthcare Software
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IEC 82304-1: Essential Standard for AI Healthcare Software

Explore IEC 82304-1 for Artificial Intelligence.

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ISO/IEC TR 5469:2024
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ISO/IEC TR 5469:2024

A standard for functional safety within AI systems

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ISO/IEC 5259-2: Data Quality Framework for Compliant AI
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ISO/IEC 5259-2: Data Quality Framework for Compliant AI

A standard for data quality in machine learning (ML)

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ISO-IEC 8183:2023
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ISO-IEC 8183:2023

A standard for AI system life cycles

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ISO/IEC 42005
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ISO/IEC 42005

This standard provides guidance for organizations conducting AI system impact assessments.

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Upcoming EU AI Standards and Global Efforts for Harmonization
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Upcoming EU AI Standards and Global Efforts for Harmonization

Learn about the latest AI standards in development and global efforts to harmonize them across industries and regions for safer AI use.

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