ISO/IEC 23894:2023 is the first dedicated international standard offering guidance on risk management specific to artificial intelligence (AI) systems. This standard complements existing risk management frameworks such as ISO 31000 by adapting principles to the unique challenges posed by AI technologies.

With AI playing a pivotal role in decision-making, automation, data analytics, and predictive systems, ISO/IEC 23894 helps organizations anticipate, evaluate, and control potential risks across the entire lifecycle of an AI system, from design and development to deployment and retirement. It also supports responsible innovation by balancing technological advancement with ethical, legal, and societal obligations.
To begin ISO/IEC 23894 implementation or certification, contact us at support@pacificcert.com.
ISO/IEC 23894 is applicable to any organization that develops, deploys, operates, or maintains AI systems, includes:
The standard provides non-prescriptive guidance for identifying and managing risks specific to AI systems, including algorithmic bias, data privacy issues, explainability challenges, unintended behavior, and cybersecurity vulnerabilities. It can be used as a standalone tool or integrated into existing enterprise risk management (ERM) frameworks.
ISO/IEC 23053:2022, titled Framework for Artificial Intelligence (AI) Systems Using Machine Learning (ML), is an international standard developed by ISO/IEC JTC 1/SC 42. It establishes a comprehensive framework for describing generic AI systems that utilize machine learning technologies. The standard outlines system components and their functions within the AI ecosystem, providing a common terminology and set of concepts for such systems. It is applicable to organizations of all types and sizes, including public and private companies, government entities, and not-for-profit organizations implementing or using AI systems.
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Organizations implementing ISO/IEC 23894 should prepare and maintain:
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Any organization designing or using AI systems, whether in-house or through third-party providers, is eligible to adopt ISO/IEC 23894. Criteria include:
Applicable to both small startups and large enterprises, ISO/IEC 23894 is scalable and adaptable.
The cost of implementing ISO/IEC 23894 will vary based on:
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Typical duration: 10–14 weeks, depending on organizational readiness and AI system complexity.
ISO/IEC 23894 aligns with ISO 31000 but offers AI-specific considerations for:

The standard encourages a lifecycle perspective, planning for risk at every stage of an AI system, from data collection and model training to user deployment and retirement.

With governments and industries racing to regulate AI, ISO/IEC 23894 is quickly becoming a cornerstone of responsible AI development. The standard helps address demands from global regulators, ESG frameworks, and AI ethics boards. Adoption is especially relevant for sectors integrating AI into safety-critical or high-impact domains such as healthcare, finance, transportation, and law enforcement.
The European Union’s AI Act, U.S. Executive Orders on AI, and OECD AI Principles all highlight the need for transparent and accountable risk management frameworks. ISO/IEC 23894 offers a globally recognized pathway to fulfill these expectations.
Pacific Certifications supports your journey toward safe, responsible, and standard-aligned AI deployment. We provide tailored guidance to implement ISO/IEC 23894 and integrate it with your broader cybersecurity and risk governance systems.
Our services include:
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No, but it supports compliance with emerging AI regulations and demonstrates proactive governance.
Yes, the standard covers all types of AI, including ML and GenAI systems.
No, but ISO 23894 builds upon and aligns closely with ISO 31000 principles.
Faster trust-building, risk clarity, easier investor due diligence, and long-term scalability.
Usually valid for 3 years with annual surveillance audits.
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