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ISO 42001:2024 is an international standard that specifies the requirements for establishing, implementing, maintaining, and continually improving an AI management system (AIMS) within an organization.
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The organization is accountable for the capabilities of individuals whose duties influence the performance of its AI systems. A core responsibility is to establish clear competency benchmarks for relevant roles. It must then ensure that all personnel meet these standards, confirming their qualifications through suitable education, practical training, or relevant professional history. In cases where skill deficiencies are noted, the organization is obligated to initiate corrective actions, such as targeted development programs, and subsequently evaluate the effectiveness of these interventions. Furthermore, comprehensive records serving as evidence of personnel competence must be systematically maintained.












For the duration of an artificial intelligence system's existence, from its initial conception to its eventual decommissioning, the organization holds a continuous obligation. It must systematically evaluate and formally record the foreseeable consequences the system could have. This documented analysis must address the potential effects on both individual persons and identifiable population subgroups, ensuring a comprehensive impact assessment is maintained throughout the AI system's lifecycle.








The organization shall implement documented communication protocols pertaining to its AI management system. These protocols must systematically address information dissemination for both internal personnel and external parties. The plan must explicitly define the content to be communicated, the timing of its release, the intended recipients, and the channels for its distribution, ensuring all relevant communications are managed effectively.
















To ensure proper governance over its artificial intelligence capabilities, the organization must maintain a detailed inventory of all technological resources utilized. This formal record should comprehensively identify the specific software, platforms, and other tools that are integral to the development and operation of its AI systems. Such documentation is a critical component of the organization's broader resource management framework and is essential for system transparency and oversight.




The organization is required to institute and maintain a formal methodology for evaluating the potential effects of its artificial intelligence systems. This evaluation must scrutinize the consequences arising from the entire AI system lifecycle—including its planned applications and foreseeable abuses—on individuals, communities, and society as a whole. Such an analysis must be grounded in the specific technical, societal, and legal environment where the system operates. The conclusions of this impact analysis must be officially documented, serving as a foundational element for the AI risk assessment framework. Where suitable, these findings may be disclosed to pertinent stakeholders in accordance with the controls specified in Annex A.




















To ensure a cohesive governance structure, the organization shall perform a comprehensive evaluation of its entire policy portfolio. This review must identify and harmonize all internal regulations that are either influenced by or pertinent to its strategic objectives for artificial intelligence. The outcome of this activity is to guarantee consistency and alignment throughout the organization's governing principles and its approach to AI systems.








The organization is required to formally document the outcomes of its management reviews. This documented information must be retained and should capture all official resolutions. Key among these are decisions related to opportunities for the continual improvement of the AI management system, as well as any necessary changes to the system that were identified. This record serves as the authoritative evidence of the review's conclusions and the strategic direction for system enhancements.








An organization shall establish a systematic approach for identifying all parties with a relevant interest in the AI management system and understanding their corresponding expectations. Following this comprehensive analysis of stakeholder needs, a formal determination must be made. This decision will explicitly define which of the collected requirements are to be incorporated and addressed within the scope of the AI management system, ensuring its alignment with pertinent interests. The organization must also consider if any relevant stakeholders have climate change related requirements.








The organization is required to establish and preserve a formal, documented record for all datasets leveraged by its artificial intelligence models. This documentation must provide a clear account of how the data was sourced and gathered. Furthermore, it must explicitly define the rationale and criteria applied during the data selection process to ensure transparency and accountability.




An organization must develop a formal AI risk treatment plan based on its risk assessment outcomes. This plan necessitates selecting risk mitigation options and determining all applicable controls, which are validated against Annex A and guided by Annex B. A Statement of Applicability must document and justify the inclusion or exclusion of these controls. The final plan, along with any accepted residual risks, requires formal approval from designated management. It must be maintained as documented information and communicated appropriately to relevant parties.












To uphold effective governance and clear lines of authority, the organization must institute a formal structure for artificial intelligence-related duties. It is mandatory that all roles, responsibilities, and accountabilities concerning AI are explicitly documented and assigned. This allocation must be tailored to directly support the organization's strategic objectives and fulfill its distinct operational requirements, thereby ensuring that oversight is unambiguous and accountability is firmly established.




The organization is mandated to conduct a comprehensive evaluation of the wider societal ramifications associated with its artificial intelligence systems. This responsibility extends across the complete operational lifespan of each system, from its initial conception to its final retirement. Crucially, a formal, documented record of this societal impact assessment must be created and maintained, ensuring that potential consequences are systematically analyzed and addressed.








As part of its resource management framework, the organization must establish and preserve records identifying the personnel and associated competencies for all roles. This requirement extends to every individual involved throughout the entire lifecycle of the AI system. Documentation must cover all stages, from initial design, development, and integration, through to deployment, ongoing operation, maintenance, and eventual decommissioning, ensuring that skill sets are appropriately mapped to responsibilities.












The organization shall ensure all personnel are adequately informed about its formal AI policy. This includes communicating each individual's responsibilities for contributing to the AI management system's efficacy and the benefits of improved AI performance. It is also imperative that all individuals understand the repercussions of non-compliance with the established requirements of the AI management system.












The organization must establish and maintain a structured process dedicated to the continual improvement of the AI management system. This ongoing effort is critical for ensuring the system's sustained suitability for its purpose, its adequacy in meeting requirements, and its overall effectiveness. Through regular review and enhancement cycles, the system's performance and alignment with organizational objectives are perpetually refined and optimized.








It is mandatory for the organization to institute a formal procedure for analyzing the effects its artificial intelligence technologies could have on various stakeholders. This analysis must consider the potential repercussions for individuals, specific demographic groups, and society as a whole. Crucially, the application of this evaluation process is required continuously, covering every stage from the system's initial conception through its deployment and eventual retirement.








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