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ISO/IEC 42001 is an international standard that specifies requirements for establishing, implementing, maintaining, and continually improving an Artificial Intelligence Management System (AIMS) within organizations. It is designed for entities providing or utilizing AI-based products or services, ensuring responsible development and use of AI systems. ISO/IEC 42001 is the world’s first AI management system standard, providing valuable guidance for this rapidly changing field of technology. It addresses the unique challenges AI poses, such as ethical considerations, transparency, and continuous learning. For organizations, it sets out a structured way to manage risks and opportunities associated with AI, balancing innovation with governance.
Organizations of any size are involved in developing, providing, or using AI-based products or services. It is applicable across all industries and relevant for public sector agencies as well as companies or non-profits. An AI management system, as specified in ISO/IEC 42001, is a set of interrelated or interacting elements of an organization intended to establish policies and objectives, as well as processes to achieve those objectives, in relation to the responsible development, provision or use of AI systems. ISO/IEC 42001 specifies the requirements and guides establishing, implementing, maintaining and continually improving an AI management system within the context of an organization
ISO has a number of standards that help mitigate the risks and maximize the rewards of AI, including ISO/IEC 22989, which establishes terminology for AI and describes concepts in the field of AI; ISO/IEC 23053, which establishes an AI and machine learning (ML) framework for describing a generic AI system using ML technology; and ISO/IEC 23894, which provides guidance on AI-related risk management for organizations.
ISO/IEC 42001 on the other hand is a management system standard (MSS). Implementing this standard means putting in place policies and procedures for the sound governance of an organization in relation to AI, using the Plan-Do-Check-Act methodology. Rather than looking at the details of specific AI applications, it provides a practical way of managing AI-related risks and opportunities across an organization. It therefore provides value for any business or entity
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Course Fee | 2,700 |
Total Fees (with exam) |
2,700 (USD) |
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Course Fee | 2,250 |
Total Fees (with exam) |
2,250 (USD) |
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Flexi Video | 16,449 |
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Hands-On-Labs2 | 4,159 |
+ GST 18% | 4,259 |
Total Fees (without exam & Labs) |
22,359 (INR) |
Total Fees (with Labs) |
28,359 (INR) |
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