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Sam de Vries
sam.devries@tidewell-it.example

ISO 42001:2023

ISO/IEC 42001:2023 artificial intelligence management system. Includes the mandatory management-system clauses 4 through 10, plus the Annex A reference controls for responsible development and use of AI, which are subject to the applicability decision recorded in the Statement of Applicability. The body text consists of plain-language summaries authored for this product, not the verbatim text of the standard; customers needing the authoritative text should reference ISO/IEC 42001:2023 from their national standards body.

Requirement bodies below are plain-language summaries authored by Compliance. For the verbatim text of the standard, reference the publication from your national standards body (NEN, BSI, ANSI, ...).

Management system (32)

4.1 Understanding the organisation and its context

Determine the internal and external issues relevant to the organisation's purpose that affect the intended outcomes of the AI management system, including the organisation's role with respect to AI systems (provider, developer, user).

4.2 Understanding the needs and expectations of interested parties

Determine the interested parties relevant to the AI management system and their relevant requirements, including those arising from the use and impacts of AI systems.

4.3 Determining the scope of the AI management system

Define and document the boundaries and applicability of the AI management system, considering context, interested-party requirements, and the organisation's activities involving AI systems.

4.4 AI management system

Establish, implement, maintain, and continually improve the AI management system, including the processes needed and their interactions, in line with the standard.

5.1 Leadership and commitment

Top management must demonstrate leadership and commitment to the AI management system, ensuring policy and objectives, integrating requirements into business processes, providing resources, and promoting continual improvement.

5.2 AI policy

Top management must establish an AI policy appropriate to the organisation that provides a framework for objectives, commits to meeting applicable requirements and to continual improvement, and is documented, communicated, and available.

5.3 Roles, responsibilities and authorities

Assign and communicate responsibilities and authorities for roles relevant to the AI management system, including ensuring conformity to the standard and reporting on performance to top management.

6.1.1 Actions to address risks and opportunities - general

When planning the AI management system, consider context and interested-party requirements to determine the risks and opportunities to be addressed to assure intended outcomes, prevent undesired effects, and achieve continual improvement.

6.1.2 AI risk assessment

Define and apply an AI risk assessment process with documented criteria that identifies, analyses, and evaluates risks to the organisation and, where relevant, to individuals and society, producing consistent and comparable results.

6.1.3 AI risk treatment

Define an AI risk treatment process that selects appropriate treatment options and controls, compares them against the Annex A reference controls, produces a Statement of Applicability, and formulates a treatment plan approved by risk owners.

6.1.4 AI system impact assessment

Establish a process to assess the potential consequences of AI systems for individuals, groups, and society throughout their life cycle, and integrate the results into risk treatment.

6.2 AI objectives and planning to achieve them

Establish measurable AI objectives consistent with the policy, and plan how to achieve them including what will be done, resources, responsibility, timing, and how results are evaluated; keep documented information.

6.3 Planning of changes

When the organisation determines a need to change the AI management system, carry out those changes in a planned manner.

7.1 Resources

Determine and provide the resources needed to establish, implement, maintain, and continually improve the AI management system.

7.2 Competence

Determine the competence needed for people whose work affects AI management performance, ensure it through education, training, or experience, take action where gaps exist, and retain evidence.

7.3 Awareness

Ensure people doing work under the organisation's control are aware of the AI policy, their contribution to the system's effectiveness, and the implications of not conforming.

7.4 Communication

Determine the internal and external communications relevant to the AI management system: what, when, with whom, and how to communicate.

7.5.1 Documented information - general

The AI management system must include the documented information required by the standard plus whatever the organisation determines is necessary for its effectiveness.

7.5.2 Creating and updating documented information

When creating or updating documented information, ensure appropriate identification and description, format and media, and review and approval for suitability and adequacy.

7.5.3 Control of documented information

Control documented information so it is available and suitable where needed and adequately protected, addressing distribution, access, storage, version control, retention, disposal, and documents of external origin.

8.1 Operational planning and control

Plan, implement, and control the processes needed to meet requirements and treat AI risks, keep documented information to give confidence processes ran as planned, and control planned and unintended changes, including outsourced processes.

8.2 AI risk assessment (operational)

Perform AI risk assessments at planned intervals and when significant changes occur, using the defined criteria, and retain the results as documented information.

8.3 AI risk treatment (operational)

Implement the AI risk treatment plan and retain documented information on the results of the treatment.

8.4 AI system impact assessment (operational)

Perform AI system impact assessments at planned intervals and when significant changes occur, and retain the results as documented information.

9.1 Monitoring, measurement, analysis and evaluation

Determine what needs monitoring and measuring, the methods, and when, to evaluate the AI management system's performance and effectiveness, and retain the evidence of results.

9.2.1 Internal audit - general

Conduct internal audits at planned intervals to confirm the AI management system conforms to the organisation's own requirements and the standard and is effectively implemented and maintained.

9.2.2 Internal audit programme

Plan, establish, and maintain an audit programme, defining criteria and scope, selecting objective auditors, and reporting results to relevant management; retain documented evidence.

9.3.1 Management review - general

Top management must review the AI management system at planned intervals to ensure its continuing suitability, adequacy, and effectiveness.

9.3.2 Management review inputs

The management review must consider inputs such as status of prior actions, changes in context, performance and audit results, feedback, risk assessment outcomes, and opportunities for improvement.

9.3.3 Management review results

The results of the management review must include decisions on continual improvement and any changes needed to the AI management system, and be retained as documented information.

10.1 Continual improvement

Continually improve the suitability, adequacy, and effectiveness of the AI management system.

10.2 Nonconformity and corrective action

React to nonconformities, correct them, evaluate whether corrective action is needed to prevent recurrence, implement and review that action, and retain evidence of the nonconformity and the response.

Annex A (38)

A.2.2 AI policy

Document an AI policy that is approved by management, sets the organisation's approach to developing or using AI systems, and is aligned with business objectives and applicable obligations.

A.2.3 Alignment with other organisational policies

Determine where AI touches other organisational policies (such as security, privacy, safety, and quality) and ensure the AI policy is consistent with them.

A.2.4 Review of the AI policy

Review the AI policy at planned intervals or when significant changes occur, so it stays suitable and effective.

A.3.2 AI roles and responsibilities

Define and allocate roles and responsibilities for AI across the organisation, covering the AI life cycle and associated risks and impacts.

A.3.3 Reporting of concerns

Provide a mechanism for people to report concerns about the organisation's AI systems in a defined and safe manner.

A.4.2 Resource documentation

Identify and document the resources required for the AI system life-cycle activities so they can be planned and provided.

A.4.3 Data resources

Document and manage the data resources used for AI systems, including their characteristics relevant to intended use.

A.4.4 Tooling resources

Document and manage the tooling resources used across the AI system life cycle.

A.4.5 System and computing resources

Document and manage the system and computing resources used to develop, deploy, and operate AI systems.

A.4.6 Human resources

Document and manage the human resources and the competencies needed for the AI system life cycle.

A.5.2 AI system impact assessment process

Establish a process to assess the potential impacts of AI systems on individuals, groups, and society, and define when it is performed.

A.5.3 Documentation of AI system impact assessments

Document the results of AI system impact assessments and retain them for the relevant period.

A.5.4 Assessing AI system impact on individuals or groups

Assess and document the potential impacts of AI systems on individuals or groups of individuals throughout the life cycle.

A.5.5 Assessing societal impacts of AI systems

Assess and document the potential wider societal impacts of AI systems throughout the life cycle.

A.6.1.2 Objectives for responsible development of AI systems

Identify and document objectives to guide the responsible development of AI systems.

A.6.1.3 Processes for responsible design and development

Define and document the processes for responsible design and development of AI systems.

A.6.2.2 AI system requirements and specification

Specify and document the requirements for new or substantially changed AI systems.

A.6.2.3 Documentation of AI system design and development

Document the AI system design and development so the approach and decisions are traceable.

A.6.2.4 AI system verification and validation

Define and document verification and validation measures for AI systems and the criteria for using them.

A.6.2.5 AI system deployment

Document a deployment plan and ensure requirements are met before an AI system is deployed.

A.6.2.6 AI system operation and monitoring

Define and document what is necessary for the ongoing operation and monitoring of AI systems.

A.6.2.7 AI system technical documentation

Produce and maintain technical documentation of AI systems for relevant interested parties.

A.6.2.8 AI system recording of event logs

Determine and document what event logging AI systems produce during their operation.

A.7.2 Data for development and enhancement of AI systems

Define and document requirements for the data used to develop and enhance AI systems.

A.7.3 Acquisition of data

Determine and document the provenance and method of acquisition of data used in AI systems.

A.7.4 Quality of data for AI systems

Define and document requirements for data quality and ensure data meets them for the intended use.

A.7.5 Data provenance

Define and document a process to record and maintain the provenance of data used in AI systems.

A.7.6 Data preparation

Define and document the criteria and methods used to prepare data for AI systems.

A.8.2 System documentation and information for users

Provide users of the AI system with the documentation and information they need to use it appropriately.

A.8.3 External reporting

Provide the ability for affected parties to receive information and report adverse impacts of the AI system.

A.8.4 Communication of incidents

Define and document a process to communicate AI system incidents to relevant users and interested parties.

A.8.5 Information for interested parties

Determine and provide the information that interested parties need about the AI system and its obligations.

A.9.2 Processes for responsible use of AI systems

Define and document the processes for responsible use of AI systems.

A.9.3 Objectives for responsible use of AI systems

Identify and document objectives to guide the responsible use of AI systems.

A.9.4 Intended use of the AI system

Ensure the AI system is used in accordance with its intended use and accompanying documentation.

A.10.2 Allocating responsibilities

Allocate responsibilities within the AI value chain between the organisation, its suppliers, partners, and customers.

A.10.3 Suppliers

Ensure suppliers used in the AI life cycle apply appropriate controls aligned with the organisation's approach to responsible AI.

A.10.4 Customers

Provide customers with the information and capabilities they need to meet their responsibilities for the AI system.

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