What Is ISO/IEC 42001:2023?

Artificial intelligence (AI) is rapidly becoming embedded across all business operations, regardless of the field. As AI adoption increases, organisations face growing pressure to manage new risks, such as bias, data misuse, lack of transparency and hacks.

ISO/IEC 42001:2023 is the first international standard designed specifically to address these challenges. It provides a structured framework for establishing an Artificial Intelligence Management System (AIMS) to help organisations develop, deploy, use, monitor and govern AI systems responsibly.

For organisations developing or using AI technologies, ISO 42001 provides a practical path to responsible and accountable AI governance that’s backed by an internationally recognised certification.  

An Artificial Intelligence Management System (AIMS) is a structured organisational framework used to govern the development, deployment and monitoring of AI systems.

It defines how an organisation manages responsibilities, processes and controls throughout the entire AI lifecycle. This includes everything from design, training, deployment, development and ongoing monitoring.

AIMS ensures AI technologies operate in a way that is transparent, accountable, secure, ethical and compliant with regulatory expectations. 

It helps organisations answer key governance questions such as:

• How are AI models developed and validated?
• How are risks such as bias or data misuse identified?
• Who is responsible for AI oversight?
• How are AI systems monitored once deployed?

By implementing ISO 42001, organisations embed these AI governance processes directly into their operational structure, so AI systems are managed consistently across departments and business units.  

Artificial intelligence introduces unique governance challenges that traditional IT management frameworks were not designed for.

The standard is important, as AI systems can evolve, make autonomous decisions, and rely heavily on large datasets and sensitive data. Without a consistent management process to track these systems, risks such as bias, poor performance, unintended consequences and security or privacy breaches start to emerge.

As governments introduce new regulations for AI technologies, organisations must demonstrate responsible oversight, making ISO 42001 critically important.

ISO/IEC 42001:2023 provides a globally recognised framework for AI governance, helping organisations to:

• Establish accountability for AI decision-making
• Ensure transparency and traceability of AI systems
• Manage ethical and operational risks
• Build trust with customers, partners and regulators

By implementing ISO 42001, organisations move beyond fragmented, informal AI policies to a formal management system supported by documented processes, controls and measurable objectives.  

ISO 42001 follows the Annex SL structure, which is a common framework used by modern ISO management system standards. This allows it to integrate seamlessly with existing standards such as ISO 27001 (Information security) and ISO 9001 (quality management)

The standard introduces several core requirements and clauses that form the foundation of an Artificial Intelligence Management System.

Leadership and governance  

Senior leadership must establish clear governance controls for AI use, such as setting policies, defining responsibilities, and ensuring adequate resources for AI management.

AI risk management 

Organisations must identify and assess risks associated with AI systems, including ethical, operational and technical risks.

Operational controls 

Processes must be implemented to manage the design, development, deployment and ongoing AI systems to ensure they’re controlled and documented across their lifecycle.

Performance evaluation

Organisations must measure and monitor the effectiveness of their AIMS through internal audits and performance metrics.

Continual improvement

Like other standards, compliance goes beyond ticking boxes. The management system must continually improve its AI governance processes, adapting controls as technologies change and risks evolve.

AI technologies introduce risks that can affect not only organisations, but also individuals and the wider public. ISO 42001 helps organisations deal with these new and often misunderstood risks so they can identify issues before they occur.

Common AI risks the standard addresses include:

Bias

AI models may unintentionally discriminate against certain groups due to biased training data. ISO 42001 requires organisations to assess datasets and implement controls to minimise bias. 

Lack of explanation 

Some AI systems function as “black boxes”. The standard requires documentation and transparency in model design to make it easier to understand how or why decisions are made.

Data quality issues

AI models depend heavily on data sets. When these data sets are of poor quality, it introduces unreliable and potentially negative outcomes. The standard requires processes to ensure data integrity and traceability to spot data quality issues.

Security and privacy

AI systems may process sensitive personal or company data, which, if compromised, can cause significant harm. The standard integrates with existing information security controls to protect data and maintain privacy rights.

By systematically addressing these risks, organisations can deploy AI technologies more confidently, assess or spot these risks before they happen and mitigate potential issues.

By proactively managing AI risks with ISO 42001, it reassures stakeholders, maintains compliance, and protects the organisation's reputation.  

Certification demonstrates an organisation has successfully implemented an Artificial Intelligence Management System aligned with ISO 42001 requirements.

The certification process typically involves several stages. 

• Gap Analysis

The organisation evaluates existing AI governance, technology and risk management processes against ISO 42001 to identify gaps.

• Implementation

Policies, procedures and controls are implemented to establish a functioning Artificial Intelligence Management System.

• Internal Audit

Before certification, an internal audit needs to assess whether the system is operating effectively and meets the standards requirements. 

• Stage 1 Certification Audit

An accredited certification body performs an independent audit, including documentation and a readiness assessment, to verify compliance. 

• Stage 2 Certification Audit

The certification body then conducts a detailed evaluation audit to verify that the system is fully implemented and operating effectively.

• Surveillance Audit

Once passed, organisations receive ISO 42001 certification and must undergo periodic surveillance audits to maintain compliance and show continual improvement.

ISO 42001 is designed to integrate with existing AI standards and established ISO management systems.

Alignment is easy, as it follows the Annex SL framework, so organisations can integrate ISO 42001 with:

• ISO 27001 (Information Security Management)
• ISO 9001 (Quality Management Systems)
• ISO 27701 (Privacy Information Management)

This allows organisations to manage AI governance with existing compliance frameworks rather than creating entirely separate governance processes.

Achieving ISO/IEC 42001:2023 certification provides significant strategic and operational benefits for organisations and protects against future AI risks.

Tangible benefits include:

• Strengthened Stakeholder Trust: Demonstrates that AI systems are governed responsibly, increasing confidence among customers, regulators and internal departments.
  
  
• Regulatory Readiness: With global AI regulations rapidly evolving, ISO 42001 puts organisations at the forefront and prepares for compliance by embedding AI governance processes early.
  
  
• Improved Risk Management: AIMS allows organisations to identify and manage AI risks before they result in incidents that impact operations or damage reputation.
  
  
• Competitive Advantage: As organisations increasingly demand responsible AI practices from partners, certification serves as a differentiator and shows long-term commitment to managing AI risks.
  
  
• Integration with Existing Management Systems: By aligning with other ISO frameworks, organisations can streamline AI governance across all departments.

Together, these benefits position ISO 42001 as a strategic investment for organisations deploying AI technologies at scale and to prepare for AI risks as they evolve.  

As artificial intelligence continues to transform industries, organisations must ensure that AI systems are deployed responsibly, securely and transparently.

ISO 42001 provides a structured framework for building trustworthy AI governance through a dedicated AI Management System (AIMS). Certification means organisations can demonstrate accountability to regulators and stakeholders throughout the world.

To learn more about the requirements of the standard, organisations can obtain the official ISO 42001 standard through Intertek Inform.