AI governance
Establish clear policies, responsibilities and decision paths for the AI systems and activities within the AIMS scope.
Independent certification of an Artificial Intelligence Management System against ISO/IEC 42001:2023, with a defined scope covering the organization’s relevant AI products, services, processes, systems and locations.
A practical AIMS connects AI governance, risk assessment, operational controls, accountability, performance evaluation and continual improvement.
ISO/IEC 42001 provides a management-system approach for organizations developing, providing or using AI-based products and services.
ISO/IEC 42001:2023 is the international standard for an Artificial Intelligence Management System (AIMS). It provides a structured approach to policies, objectives, processes, controls, risk management and continual improvement in organizations that develop, provide or use AI-based products or services.
For organizations in Dubai, Abu Dhabi and across the UAE, an AIMS can bring clearer accountability to AI decisions that affect customers, employees, suppliers, data, products and services. The certification scope should reflect the AI activities and organizational processes that are actually assessed.
AI governance becomes useful when it is connected to the decisions people already make. A product team deciding whether to introduce a machine-learning feature, a bank reviewing an automated decision workflow, or a healthcare organization assessing an AI-enabled service all need a clear way to identify responsibilities, assess risk and review outcomes.
ISO/IEC 42001 provides the management-system structure for that work. It gives the organization a way to define its AIMS scope, establish leadership responsibilities, plan controls, provide resources and competence, operate AI-related processes, evaluate performance and improve the system over time.
The practical shape of the AIMS will depend on the organization. A software company may focus on AI development, model lifecycle decisions, data handling and customer use. A financial services organization may place more attention on decision-making, monitoring, human oversight and affected stakeholders. A manufacturer may focus on AI used in inspection, predictive maintenance, robotics or production planning.
The certification scope should therefore be specific enough to explain what the organization manages and where AI-related activities are controlled.
Establish clear policies, responsibilities and decision paths for the AI systems and activities within the AIMS scope.
Identify AI-related risks and relevant impacts, then use the results to guide controls, priorities and management decisions.
Maintain appropriate information about AI decisions, responsibilities, oversight and the way relevant stakeholders are considered.
Apply suitable controls to AI data, models, systems, suppliers, changes and operational processes according to the defined scope.
AIMS implementation in the UAE should create practical governance around real AI activities. The goal is to make responsibilities, risks, controls and evidence clear enough for people to use and management to review.
Identify AI products, services, internal use cases, locations, processes and organizational functions included in the intended certification scope.
Establish ownership for AI governance, decision-making, oversight, risk treatment, monitoring and escalation across relevant teams.
Identify and evaluate AI-related risks and relevant impacts so that controls and management attention match the organization’s actual use of AI.
Apply suitable controls to data, models, system changes, suppliers, deployment, monitoring, human oversight and AI service delivery within scope.
Use monitoring, internal audit, incident information, stakeholder feedback and management information to evaluate whether the AIMS is working as intended.
Use findings, lessons learned, changes in AI use and management review to improve governance and the effectiveness of the AIMS.
UAE organizations may use AI in software development, financial services, healthcare, manufacturing, logistics, customer service, marketing and internal operations. The certification scope should describe the AI activities, services, processes and locations that are intended to be assessed.
See the certification processISO/IEC 42001 connects organizational leadership with AI governance, risk, resources, operational controls, performance evaluation and continual improvement.
Establish policies, roles and decision paths for AI activities within scope.
Identify and evaluate AI-related risks and use the results to guide controls.
Define appropriate responsibilities and oversight for AI decisions and outcomes.
Address relevant data practices, quality, handling and controls within scope.
Maintain suitable information about AI systems, decisions and accountability.
Provide people with suitable knowledge, awareness and skills for their AI-related roles.
Monitor relevant AIMS performance and use evidence to support management review.
Use findings, incidents, lessons learned and review outcomes to strengthen the AIMS.
ISO/IEC 42001 can support organizations with very different AI roles. The AIMS scope, responsibilities and controls should reflect the actual technology, business context and AI activities being assessed.
Identify whether the organization develops AI, provides AI-enabled services, uses AI internally or performs more than one of these activities.
Consider customers, employees, suppliers, users and other parties that may be relevant to AI decisions and outcomes within scope.
Evaluate relevant risks and impacts and use the results to determine suitable controls, responsibilities and monitoring activities.
Use evidence, incidents, audit results, stakeholder feedback and management review to improve AI governance over time.
The assessment follows ISO/IEC 42001 and the defined AIMS scope, taking account of the organization’s context, leadership, AI activities, risks, operational controls, performance evaluation and improvement.
Understand the organization, relevant stakeholders, AI activities and boundaries of the AIMS.
Establish leadership direction, AI policy, responsibilities and accountability for the management system.
Plan actions for relevant AI risks, opportunities, objectives and changes affecting the AIMS.
Provide competence, awareness, communication, resources and controlled information needed for the AIMS.
Plan and control relevant AI processes, changes, suppliers, system activities and operational decisions.
Monitor, measure, analyze and evaluate AIMS performance and use results for management review.
Address nonconformities and findings and continually improve the suitability and effectiveness of the AIMS.
Maintain governance practices appropriate to AI systems, decisions, responsibilities, oversight and relevant stakeholder impacts.
During certification, the AIMS is assessed within the agreed scope. The evidence expected depends on the organization’s AI activities, processes, risks, people, resources and operating model.
How policies, responsibilities, decision paths and oversight are established for AI activities within scope.
How AI-related risks and relevant impacts are identified, evaluated, treated and reviewed.
How relevant development, change, deployment, monitoring and operational activities are controlled.
How relevant data practices and externally provided products or services are evaluated and controlled.
How objectives, monitoring, analysis, audit results and management review support AI governance decisions.
How incidents, findings, nonconformities and lessons learned are controlled and used to strengthen the AIMS.
ISO/IEC 42001 can be applied wherever AI is developed, provided or used. The certification scope should reflect the organization’s actual AI activities, processes, people, technology and governance arrangements.
Govern AI development, software delivery, automated services, data use, model changes and customer-facing AI applications.
Explore IndustryManage AI used in connected vehicles, inspection, manufacturing, driver-assistance technologies and operational decision processes.
Explore IndustryEstablish governance for predictive maintenance, quality inspection, robotics, process optimization and AI-enabled production decisions.
Explore IndustryOrganize AI governance around clinical support, medical technologies, data, product development and AI-enabled healthcare services.
Explore IndustryGovern AI used for design, project planning, asset monitoring, document workflows and operational decision support across construction activities.
Explore IndustryManage AI used in route planning, fleet operations, logistics forecasting, customer services and supply-chain decision processes.
Explore IndustryApply AI governance to forecasting, asset monitoring, predictive maintenance, energy operations and data-driven business decisions.
Explore IndustryGovern AI used for crop monitoring, forecasting, production planning, quality activities and data-supported decisions across agricultural operations.
Explore IndustryCertification scope is central to an effective AIMS programme. It identifies the AI products, services, use cases, processes, functions and relevant locations covered by the management system and assessed during certification.
For organizations operating in Dubai or other UAE emirates, the scope should accurately describe the AI activities and organizational functions included in the AIMS.
Define AI-enabled products, services and customer-facing activities within the intended AIMS scope.
Identify internal and external AI use cases that are governed through the management system.
Clarify the teams, processes, decision points and supporting functions responsible for AI activities.
Consider relevant AI suppliers, platforms, models and externally provided services that affect activities within scope.
The certification programme is planned around the AIMS scope, AI activities, locations, personnel, process complexity and readiness. The sequence below shows a typical route.
Provide the organization’s AI activities, products or services, locations, personnel and intended management-system scope.
Implement the applicable ISO/IEC 42001 framework and generate evidence through normal AI-related business activities.
Review relevant AIMS information, scope, processes and readiness for the certification audit.
Assess implementation and effectiveness of the AIMS against applicable ISO/IEC 42001 criteria within the agreed scope.
Audit results and applicable findings proceed through the certification decision process.
Maintain the AIMS, evaluate performance, address findings and continue improving AI governance throughout the certification cycle.
ISO/IEC 42001 can help organizations establish clearer AI governance, structured risk management, accountable processes and independent assessment of their AIMS.
Define roles, responsibilities and decision paths for AI activities across the organization.
Create a consistent management approach for identifying, evaluating and treating relevant AI risks.
Strengthen accountability and maintain suitable information about AI systems, decisions and oversight.
Demonstrate that AI governance is managed through a defined system and independently assessed certification process.
Use monitoring, audits, reviews and documented decisions to support management oversight of AI activities.
Use findings, lessons learned and changes in AI use to keep the AIMS relevant as the organization evolves.
An Artificial Intelligence Management System should remain part of the organization’s management cycle as AI systems, services, risks and business decisions change.
Evaluate whether planned AIMS arrangements are implemented and whether relevant processes operate as intended.
Give leadership structured information about AI objectives, performance, audit results, changes, risks and improvement needs.
Control nonconformities, investigate relevant causes and determine whether corrective actions are effective.
Use performance information, lessons learned, incidents and changes in AI use to improve the suitability and effectiveness of the AIMS.
Find practical answers about ISO/IEC 42001:2023, Artificial Intelligence Management Systems, AI governance, certification scope, audits and ongoing certification.
Request an ISO 42001 QuoteISO/IEC 42001 certification is an independent third-party assessment of an organization’s ArtificialIntelligence Management System (AIMS) against the applicable criteria of ISO/IEC 42001:2023. Thecertification scope identifies the AI-related activities, processes, services, products and locationscovered by the assessment.
ISO/IEC 42001:2023 is an international management system standard for artificial intelligence. Itprovides a structured way for organizations to establish, operate, maintain and continually improve anArtificial Intelligence Management System in the context of the organization.
Yes. ISO/IEC 42001:2023 is the international standard for an Artificial Intelligence Management System.It is intended for organizations that develop, provide or use AI-based products or services.
Organizations of different sizes and sectors can pursue ISO/IEC 42001 certification when AI is part oftheir products, services, internal processes or business activities. The standard can apply to privatecompanies, public-sector organizations and other entities.
ISO/IEC 42001 certification is not universally mandatory for every organization in the UAE. A customer,contract, procurement programme, governance framework or other commercial condition may ask for evidenceof an AI management system. Any sector-specific legal or contractual condition should be checked for theorganization concerned.
ISO/IEC 42001 provides a management-system approach for responsible development, provision and use of AI.It addresses organizational context, leadership, planning, support, operation, performance evaluation andimprovement, with attention to AI-related risks, opportunities and governance.
An Artificial Intelligence Management System, or AIMS, is a set of related organizational policies,objectives, processes and controls used to manage the responsible development, provision or use of AIsystems. Its scope is defined by the organization and its AI activities.
No. ISO/IEC 42001 is intended for organizations that develop, provide or use AI-based products orservices. An organization using AI internally can therefore consider an AIMS when AI-related risks,governance and business impacts fall within its intended scope.
The organization identifies and evaluates AI-related risks relevant to its context and scope. Dependingon the AI system and use case, these can involve areas such as data, privacy, security, transparency,accountability, reliability, bias, human oversight and impacts on affected people.
A certification programme normally starts with an application and defined AIMS scope, followed byreadiness review, Stage 1 and Stage 2 audit activities, a certification decision and ongoing surveillanceduring the certification cycle.
Stage 1 is an initial audit activity used to review information about the AIMS, its scope, organizationalcontext, documented information and readiness for the next audit stage. The exact audit plan depends onthe organization and certification programme.
Stage 2 is the certification audit in which the implementation and effectiveness of the AIMS are assessedagainst the applicable ISO/IEC 42001 criteria within the agreed scope, using objective evidence fromrelevant processes and activities.
There is no single timeline for every organization. Duration depends on the AIMS scope, number oflocations, AI systems, organizational size, process complexity, personnel, existing management practicesand readiness for certification.
Management-system certification normally operates through a defined certification cycle with surveillanceand other applicable audit activities. The organization must continue operating and maintaining its AIMSthroughout the cycle.
Yes. ISO/IEC 42001 can be applied by organizations of different sizes. The AIMS scope and controls shouldreflect the organization’s AI activities, operating context, risks, resources and the complexity of thesystems within scope.
Evidence can include the AIMS scope, AI policies, governance arrangements, risk assessments, impactassessments where applicable, objectives, roles and responsibilities, competence records, operationalcontrols, monitoring information, internal audits, management review and improvement actions.
Yes. Organizations may use ISO/IEC 42001 alongside ISO/IEC 27001 where both AI governance and informationsecurity are relevant. Each standard retains its own purpose, scope and assessment focus.
ISO/IEC 42001 provides a structured management-system approach that can help UAE organizations organizeAI governance, risk assessment, accountability, monitoring and continual improvement. It should beapplied according to the organization’s actual AI activities and applicable local obligations.
Useful information includes the organization’s activities, AI products or services, AI use cases,intended AIMS scope, locations, personnel, relevant processes, AI systems within scope and existingmanagement-system certification or governance practices.
No. ISO develops and publishes ISO/IEC 42001 but does not perform ordinary management-systemcertification. Organizations seeking certification engage an independent certification body for theapplicable assessment and certification process.
Technical information about ISO/IEC 42001, Artificial Intelligence Management Systems and certification has been checked against official ISO publications and ISO committee information.
Share your organization’s AI activities, products or services, relevant locations and approximate personnel so the appropriate ISO/IEC 42001 certification programme can be considered.
Request an ISO 42001 Certification QuotationClients from a range of industries and business sectors.
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