ISO 42001 Framework: AI Risk Management and Compliance
.png)
.png)
Key takeaways
In response to the widespread adoption of AI, a management system standard was created to strengthen the trust of partners and support innovation while limiting risks.
ISO 42001 is an international standard that provides a framework for AI compliance. It sets requirements for implementing, maintaining and improving an AI management system. Its objective is to support organisations in four areas.
The ISO 42001 framework makes it possible to develop and use AI systems while minimising risks. The standard provides a framework for the responsible use of AI within a business.
ISO 42001 sets out requirements that structure AI governance around strict criteria. The four areas below show where the standard adds the most value.
ISO 42001 defines precise requirements for AI risk management and for managing the impacts of AI throughout implementation, maintenance and improvement. Innovation is always balanced by governance.
The risks covered include the following.
Regular audits identify these risks so they can be addressed.
Using AI in a business must be done with responsible practices. This is the framework the standard defines.
Certification establishes management provisions that support optimal system quality. It takes every element into account, from design through to use, including the quality of the data involved.
By requiring clear leadership, accountability is firmly established and every stage is made transparent. The standard ensures the traceability, transparency and reliability of systems. This limits, and can even remove, potential conflicts and allows for constant improvement.
Complying with ISO 42001 brings many advantages for your business.
AI-related risks and opportunities are managed by leadership, which increases the value and credibility of your organisation.
Certification also supports your EU AI Act compliance work and fits within a wider governance, risk and compliance approach. Our guide to GRC in cybersecurity explains how these frameworks connect.
The ISO 42001 framework is made up of 10 main clauses and 4 annexes. The requirements below summarise what organisations need to have in place.
The standard applies to all organisations that develop or use products or services based on AI. It covers the entire process, from the development of components through to the operation of the system.
Specific vocabulary is established to create a common language and make communication easier.
Overall management is mandatory. This includes a policy on the use of AI and defines organisational roles. If a business is unable to put leadership and a clear hierarchy in place, it will not be able to obtain certification.
This makes it possible to balance AI innovation and governance, and opportunities and risk management.
Businesses must set objectives specific to their AI systems, identify risks and opportunities, and put an action plan in place. The risk assessment covers the following.
Challenges specific to artificial intelligence are taken into account, such as ethical considerations and continuous learning.
An artificial intelligence management system (AIMS) must be created to meet principles of ethics and transparency. Understanding the internal and external context is made mandatory by certification. This ensures that the system is implemented within the environment the business actually operates in.
The resources, skills, communication and information required for the AIMS are clearly established. Staff working with AI must complete ISO 42001 training.
Risks and how they are treated are measured through a dedicated management system.
The monitoring, measurement and analysis of the AIMS are reviewed. The risk assessment system must be checked frequently and the results must be used for constant improvement.
Non-conformities are explained, along with the actions available to remedy them. In this way, the management system is constantly evolving.
ISO 42001 certification is granted by an accredited external body after a formal audit. This section covers how to obtain it and how to keep it.
There are 7 steps to obtaining ISO 42001 certification. The table below summarises each step and what it involves.
Several requirements must be met to obtain certification.
The AI policy must be documented and include ethical, transparency and accountability considerations.
AI-related risks must be assessed during development and during use. This assessment must take technical and societal risks into account.
The impact on individuals, groups and society must be analysed. The report must include a reflection on the following.
Audits must be organised to confirm that the AIMS still meets the standard. Staff working with AI must have experience in the field or be trained in it.
Once certification has been obtained, the work does not stop there. You must carry out surveillance audits every year or after every major change. After three years, you will need to renew the certification.
Implementing the standard takes between 6 and 12 months if your organisation already has a management system in place, and between 12 and 18 months if you need to build one from scratch. The five steps below cover the full implementation.
The first step towards certification is to prepare and analyse the system. The team is put in place and the scope of the AIMS is defined.
This last point is particularly important. A scope that is too broad increases the complexity of implementation, while a scope that is too narrow limits the value of the certification.
Once the scope has been defined, it needs to be analysed. Through the risk assessment, the gap between the current situation and the certification objectives is brought to light.
The next step is to create the AIMS. The AI policy is either developed or updated to meet the requirements of the standard. Roles and responsibilities are defined, as is the risk assessment methodology.
Data control procedures are put in place, covering the following.
Phase four is a documentation and training phase. All AIMS procedures are documented. ISO 42001 training is delivered to strengthen AI skills across the whole organisation.
Internal audits are carried out and corrective actions are implemented. Elements that do not meet the ISO 42001 requirements are identified and removed.
This is followed by a certification audit in 2 stages. First, the documentation and design of the AIMS are analysed. Then the system's conformity with the standard is assessed. If all the requirements are met, certification is granted.
Implementing the standard therefore follows 6 phases. The table below gives an indicative timeline for each.
The benefits of ISO 42001 compliance cover governance, risk, trust and process quality. Each is set out below.
Through governance, the advantages of AI are exploited in a responsible way. The development and use of systems are improved.
Thanks to ISO 42001, the requirements of European regulation (the EU AI Act) are anticipated.
AI is used in a responsible and secure way, with traceability guarantees. This encourages your business to grow while reducing risk in the following areas.
Data quality is taken into account at every stage of the system's life.
Achieving ISO 42001 is a mark of assurance for customers and stakeholders. If you meet the standard, they can entrust you with their data with greater confidence.
This increases the trust they place in your organisation and in your products or services. It is an effective way to stand out from your competitors.
Obtaining certification is a reliable way to improve AI management processes. You demonstrate your drive to improve and optimise processes, whether the challenges are internal or external. You also develop processes that are critical for risk management, data quality and the system lifecycle.
There are around ten compliance controls to work through. The checklist below groups them by theme.
To obtain ISO 42001 certification, an external body must carry out audits to confirm your compliance. DPO Consulting's experts bring more than 10 years of experience and the trust of {{client_count}} clients to help you prepare.
On paper, they support you as external advisers, but in practice you will feel they are part of your team. They will answer all your questions in French, English or German, depending on the language you and your colleagues are most comfortable with.
Does your organisation build or use AI systems? To limit risks and support innovation, the best approach is to comply with ISO 42001. The simplest way to get there is to work with our Innovation and AI compliance team. Talk to a DPO Consulting expert to meet the requirements of the standard quickly.
No, but it is recommended for businesses working with AI.
Any organisation that builds or uses AI systems can benefit from it, whether suppliers, manufacturers, customers, service providers or competent authorities.
Certification takes between 6 and 18 months to obtain.
The cost varies according to the size of the organisation, the number of employees working with AI, the complexity of the system and how prepared the business is.
Compliance means that the business meets the requirements of the standard. To obtain certification, an accredited external body must carry out audits and issue the certificate on the basis of its findings.
Yes. Its many criteria establish governance over AI systems and limit risks, which makes it a solid foundation for AI risk management.
Audits are organised every year. A renewal audit takes place after 3 years.