Artificial intelligence (AI) has become a key element in the digital transformation of companies, but it is also a source of legal, ethical and reputational risks.<\/p>\n
In this context, it is no longer enough for a model to work \u201cwell\u201d from a purely technical perspective. Authorities, clients and business partners want to know who controls these systems, what safeguards are in place and how risks are managed. To address these questions, the ISO\/IEC 42001:2023<\/strong> standard has been published, the first international standard specifically focused on artificial intelligence management systems. Its purpose is to provide a governance framework that enables organisations to design, deploy and use AI in a responsible way, aligned with applicable regulation and with market expectations regarding trust.<\/p>\n ISO 42001 is not a technical manual on algorithms, but a management system standard<\/strong>. It regulates how the company organises itself around its AI systems: which policies it approves, which processes it follows, who takes decisions and which controls are applied.<\/p>\n Like other standards such as ISO 9001 or ISO\/IEC 27001, it follows the high-level structure used for management systems. In practice, it requires the organisation to:<\/p>\n <\/p>\n What makes ISO 42001 distinctive is that it applies this logic to AI-specific risks<\/strong>: bias and potentially discriminatory decisions, lack of explainability, impact on fundamental rights, exposure of personal data and cyber security risks. In short, it regulates how AI is governed within the organisation, leaving room for technological freedom but requiring order, traceability and control.<\/p>\n The AI management system (AIMS<\/strong>) is the set of policies, processes, roles and controls that the organisation implements to keep AI under control.<\/p>\n The first objective is to ensure good governance<\/strong>. ISO 42001 seeks to prevent AI from being used in an improvised or fragmented way. The standard requires the organisation to define who does what: which body approves the AI policy and strategy, who is responsible for each system or use case, and how the areas involved coordinate with each other.<\/p>\n This means that, in the event of an incident, there is traceability of decisions<\/strong> and the company can demonstrate that it has acted diligently, which is particularly relevant in dealings with supervisory authorities, clients and business partners.<\/p>\n The second pillar is to establish AI-specific risk<\/strong> management and to facilitate regulatory compliance. For each system, the organisation must identify:<\/p>\n <\/p>\n In addition, the AI management system must be integrated with compliance with the GDPR, Spanish data protection law (LOPDGDD), e-commerce and information society services law (LSSI), the AI Act and sector-specific regulation<\/strong>, generating documented evidence that can be presented to authorities, clients or partners (records, assessments, reports, minutes, etc.).<\/p>\n The third objective is to strengthen trust and transparency. A system aligned with ISO 42001 makes it easier to explain:<\/p>\n <\/p>\n This improves how clients, users, investors and regulators perceive the organisation and strengthens its reputation compared to competitors that use AI without clear controls.<\/p>\n ISO\/IEC 42001 is a certifiable standard<\/strong>. An independent certification body can audit the organisation\u2019s AI management system and, if it meets the requirements, issue a certificate with a defined scope.<\/p>\n The first phase consists of defining the scope and carrying out an initial diagnosis. Top management decides which areas and AI systems will be included in the management system and, where applicable, in the certificate. A gap analysis is then performed to:<\/p>\n <\/p>\n This provides a realistic roadmap towards compliance.<\/p>\n The second phase is to design and implement the AI management system. Based on the diagnosis, specific policies and procedures are drafted or adapted, objectives and indicators are defined, and roles and resources are assigned.<\/p>\n In parallel, the system is rolled out in practice<\/strong>: training teams, putting processes into operation, generating evidence through records and reports, and monitoring AI systems.<\/p>\n The third phase consists of conducting audits and obtaining certification<\/strong>. Once the system is up and running, the organisation carries out internal audits to verify its effectiveness and identify improvements.<\/p>\n It can then request a certification audit from an accredited body, usually in two stages: a documentation review and an on-site verification. If the outcome is positive, the ISO\/IEC 42001 certificate is issued with the agreed scope and periodic surveillance audits<\/strong> are scheduled to ensure that the system is maintained and continues to improve over time.<\/p>\n <\/p> What does ISO 42001:2023 regulate?<\/h2>\n
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Objectives of the AI management system<\/h2>\n
1. Good governance and accountability<\/h3>\n
2. Risk management and regulatory compliance<\/h3>\n
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3. Trust and transparency<\/h3>\n
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How to obtain certification for your company<\/h2>\n
1. Scope and initial diagnosis<\/h3>\n
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2. Design and implementation of the system<\/h3>\n
3. Audits and certification<\/h3>\n
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