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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.

 

Key International Standards for AI

Several key organizations are currently developing AI standards that will have a significant impact on global governance. These organizations help set the rules and expectations for AI systems, ensuring they are deployed safely and responsibly.

The International Organization for Standardization (ISO) and the Institute of Electrical and Electronics Engineers (IEEE) are two of the leading international standards bodies in the field of AI. ISO, known for setting standards across industries, has launched the SC 42 committee focused specifically on AI. This committee works on various AI-related standards, including AI management systems, trustworthiness, and data governance. ISO’s work aims to create universally applicable standards that can be used globally.

 

CEN/CENELEC and JTC 21

In the European Union, CEN (European Committee for Standardization) and CENELEC (European Committee for Electrotechnical Standardization) are working closely with JTC 21 (Joint Technical Committee on AI) to develop regionally harmonized AI standards. These efforts aim to align AI governance with the EU’s regulatory framework, ensuring consistency across member states and compliance with EU-specific legislation like the AI Act.

These European bodies are critical for policy makers working within the EU, as they provide a structured approach to addressing both technical and ethical challenges in AI development. By aligning with CEN/CENELEC and JTC 21 standards, organizations can better ensure that their AI systems meet EU requirements and foster trust with users and regulators.

 

Upcoming and Emerging AI Standards

As AI technologies continue to evolve, so too will the standards governing them. Several key developments are on the horizon, particularly within the EU and at the global level. Policy makers must stay informed about these changes to future-proof their AI policies and ensure compliance with upcoming regulations. A flexible approach towards AI policy is paramount, seen the upcoming regulatory changes done by various laws globally.

Global AI Standards

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ISO/IEC 42001

The leading international standard that specifies requirements for establishing, implementing, maintaining, and continually improving an AI Management System (AIMS) within organizations.Learn More
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ISO/IEC 42005

This standard provides guidance for organizations conducting AI system impact assessments.Learn More
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ISO/IEC TR 24027

This standard provides methods for assessing and mitigating bias within AI systems.Learn More
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ISO/IEC TR 24028

This standard establishes an approach for measuring the trustworthiness of AI systems.Learn More
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ISO/IEC TR 24029-1

This standard provides a guide to assessing the robustness of an AI system, with a particular focus on neural networks.Learn More
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ISO/IEC 22989

Explore ISO/IEC 22989, the standard defining AI concepts and terminology. Enhance compliance, improve communication, and align AI practices across industries with this accessible guide.Learn More
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ISO/IEC 23053

ISO/IEC 23503 offers a structured framework for describing AI systems using machine learning. Applicable across industries, it promotes clarity, collaboration, and lifecycle support.Learn More
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ISO/IEC 23894

ISO/IEC 23894 helps organizations manage AI-related risks by providing adaptable guidance based on ISO 31000:2018. It addresses the complexities of AI, offering tailored frameworks and processes to integrate risk management into AI activities, ensuring strategic objectives are safeguarded.Learn More
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ISO/IEC 25059

ISO/IEC 25059 provides a unified framework for assessing AI system quality, emphasizing unique traits like learning, handling incomplete data, probabilistic reasoning, explainability, and fairness.Learn More
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ISO/IEC 27001

ISO/IEC 27001 is the world's best-known standard for information security management systems (ISMS). It defines requirements an ISMS must meet.Learn More
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ISO/IEC 27701

ISO/IEC 27701 extends ISO/IEC 27001 and ISO/IEC 27002, providing a robust framework for managing privacy information within an Information Security Management System (ISMS).Learn More
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ISO/IEC 38507

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ISO/IEC 5259-4

The ISO/IEC 5259-4 standard provides a framework for ensuring data quality in training and evaluation processes for analytics and machine learning (ML). It establishes general organizational approaches that are universally applicable, regardless of an organization's type, size, or sector.Learn More
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ISO/IEC 8183

Discover ISO/IEC 8183, the standard defining the 10 stages of the AI system life cycle, from idea conception to decommissioning. This framework ensures efficient data management and compliance, guiding organizations of all sizes in developing and operating AI systems.Learn More
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ISO/IEC TR 24368

Standard ISO/IEC TR 24368 provides a high-level overview of AI ethical and societal concerns that should play a key role for decision making that occurs at all phases of the AI lifecycle.Learn More
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ISO/IEC TR 5469

Explore ISO/IEC 5469, the essential standard for integrating AI into safety-critical systems. It defines properties, risks, and methodologies to ensure compliance with stringent safety requirements, supporting innovation while maintaining the highest functional safety standards.Learn More
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Upcoming Standards

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