International
ISO 42001
ISO/IEC 42001 is the international standard for an Artificial Intelligence Management System (AIMS). It provides a certifiable framework for governing AI responsibly across its lifecycle, covering leadership, planning, controls, and continual improvement.
51 clauses
AI policy
Organisations must document a policy governing the development or use of AI systems, aligned with business requirements and ethical considerations.
Alignment with other organisational policies
AI policies should be integrated with business strategy, organisational values, and existing risk management processes so they do not conflict with other management systems.
Review of the AI policy
The AI policy shall be reviewed at planned intervals to ensure it remains relevant and effective as AI technologies, regulations, and organisational context evolve.
AI roles and responsibilities
Roles and responsibilities for AI system management shall be clearly defined and allocated across development, deployment, and oversight activities.
Reporting of concerns
The organisation shall establish a mechanism allowing personnel and other interested parties to report concerns about the organisation's role in the AI system life cycle.
Understanding the organisation and its context
The organisation shall determine external and internal issues relevant to its purpose and that affect its ability to achieve the intended outcomes of its AIMS.
Understanding the needs and expectations of interested parties
The organisation shall determine interested parties relevant to the AIMS and their requirements.
Resource documentation
The organisation shall document the resources (data, tooling, systems, human resources) that are relevant to the AI system's life cycle.
Data resources
Data used as a resource for AI systems shall be identified and documented.
Tooling resources
Tooling used to build, test, deploy, and monitor AI systems shall be identified and documented.
System and computing resources
Computing infrastructure supporting AI systems, including its capabilities and limitations, shall be documented and managed.
Human resources
The competence and qualifications of personnel involved in the AI system life cycle shall be identified and documented.
Leadership and commitment
Top management shall demonstrate leadership and commitment with respect to the AIMS.
AI system impact assessment process
The organisation shall establish a process to assess the potential consequences of AI systems for individuals and society throughout the AI system life cycle.
Documentation of AI system impact assessments
Results of AI system impact assessments shall be documented, including the intended use and identified impacts.
Assessing AI system impact on individuals or groups of individuals
The organisation shall specifically assess how an AI system affects individual users or groups of individuals.
Assessing societal impacts of AI systems
The organisation shall assess the broader societal consequences of deploying an AI system.
Actions to address risks and opportunities
The organisation shall consider the issues referred to in Clause 4 and determine the risks and opportunities that need to be addressed.
Objectives for responsible development of AI systems
The organisation shall define objectives guiding the responsible development of its AI systems.
Processes for responsible AI system design and development
Documented processes shall govern responsible design and development practices throughout AI system creation.
AI objectives and planning to achieve them
The organisation shall establish AI objectives at relevant functions and levels, ensuring they are measurable and monitored.
AI system requirements and specification
Requirements and specifications for the AI system shall be defined before development proceeds.
Documentation of AI system design and development
Design decisions and development activities for the AI system shall be documented.
AI system verification and validation
The AI system shall be verified and validated against defined criteria for performance, safety, and intended use.
AI system deployment
Procedures for safely introducing the AI system into its operational environment shall be documented and followed.
AI system operation and monitoring
The organisation shall monitor the AI system's operation to track performance and identify anomalies.
AI system technical documentation
Technical documentation for the AI system shall be created and maintained throughout its life cycle.
AI system recording of event logs
Events and activities of the AI system shall be logged to provide an audit trail of its operation.
Resources
The organisation shall determine and provide the resources needed for the establishment, implementation, maintenance and continual improvement of the AIMS.
Competence
The organisation shall determine necessary competence of persons doing work under its control that affects AI performance.
Data for development and enhancement of AI systems
Data used to develop and improve AI systems shall be identified and documented.
Acquisition of data
The organisation shall document the source, categories, and characteristics of data acquired for use in AI systems.
Quality of data for AI systems
Data quality requirements shall be defined and documented to ensure AI system reliability.
Data provenance
A process for recording the provenance of data, tracking its sources and transformations, shall be established.
Data preparation
Methods for cleaning, labelling, and transforming data used by AI systems shall be defined and documented.
Operational planning and control
The organisation shall plan, implement and control the processes needed to meet requirements and implement actions identified in Clause 6.
AI risk assessment
The organisation shall implement an AI risk assessment process and assess the AI risks identified during planning.
System documentation and information for users
Users shall be provided with information on the AI system's purpose, usage instructions, and technical limitations.
External reporting
Information about the AI system shall be disclosed to relevant external stakeholders as appropriate.
Communication of incidents
A documented plan for communicating AI system incidents to users and other affected parties shall be established.
Information for interested parties
The organisation shall determine and communicate essential information about the AI system to relevant stakeholder groups.
Monitoring, measurement, analysis and evaluation
The organisation shall determine what needs to be monitored and measured, including AI processes and controls.
Internal audit
The organisation shall conduct internal audits at planned intervals to determine whether the AIMS conforms to the organisation's own requirements and the standard.
Processes for responsible use of AI systems
Processes for the responsible use of AI systems within the organisation shall be defined.
Objectives for responsible use of AI systems
The organisation shall establish clear objectives for how AI systems will be responsibly used.
Intended use of the AI system
AI systems shall be used according to their documented intended purposes and use cases.
Nonconformity and corrective action
When a nonconformity occurs, the organisation shall evaluate the need for action and implement corrective actions.
Continual improvement
The organisation shall continually improve the suitability, adequacy and effectiveness of the AIMS.
Allocating responsibilities
Responsibilities for AI-related obligations shall be clearly allocated among the organisation, its partners, and third parties.
Suppliers
The organisation shall establish processes to assess suppliers of AI-related products or services against ethical and compliance standards.
Customers
Customer expectations and needs relevant to the AI system shall be understood and integrated into its development and operation.
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