
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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Explore ISO/IEC 42001 for AI management. Learn how businesses can navigate AI governance, risk, and compliance effectively.
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A standard for AI terminology
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A standard for AI-related risk management
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This standard provides methods for assessing and mitigating bias within AI systems.
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This standard establishes an approach for measuring the trustworthiness of AI systems.
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This standard provides a guide to assessing the robustness of an AI system, with a particular focus on neural networks.
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A standard for describing AI systems with Machine Learning
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A standard for Systems and software Quality Requirements and Evaluation (SQuaRE)
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A standard for developing a Privacy Information Management Systems (PIMS)
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A standard for Information Security Management Systems (ISMS)
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A standard for AI governance within organizations
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Explore COBIT Standard for Artificial Intelligence.
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Explore ISO/IEC 27002 for Artificial Intelligence.
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Explore ISO/IEC 25012 for Artificial Intelligence.
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A standard for data quality in machine learning (ML)
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A standard for data quality in machine learning (ML)
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A standard for data quality in machine learning (ML)
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A standard for data quality in machine learning (ML)
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A standard for data quality in machine learning (ML)
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Explore ISO/IEC TS 22440 for Artificial Intelligence.
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A standard that overviews ethical and societal concerns for AI
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Explore ISO 9001 for Artificial Intelligence.
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Explore ISO 22301 for Artificial Intelligence.
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Explore ISO 14001 for Artificial Intelligence.
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Explore IEC 38500 for Artificial Intelligence.
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Explore ISO 19157 for Artificial Intelligence.
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Explore IEC 82304-1 for Artificial Intelligence.
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A standard for functional safety within AI systems
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A standard for data quality in machine learning (ML)
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A standard for AI system life cycles
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This standard provides guidance for organizations conducting AI system impact assessments.
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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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