Artificial intelligence (AI) is transforming decision-making mechanisms across various fields, including business processes, public services, healthcare systems, and education platforms. It is important that the systems used in these areas operate smoothly, transparently and in compliance with the legislation, both in terms of organisational trust and social responsibility. When establishing these systems, organisations should act within the framework of certain management principles and create auditable structures according to international standards.
While the European Union makes certification mandatory in high-risk artificial intelligence systems with the AI Act, the United States offers a voluntary framework with the NIST AI RMF. China, on the other hand, has implemented data-centred ethical audit mechanisms. The common point of these multifaceted global approaches is transparency, security, ethical compliance and auditability. In line with all these needs, the ISO/IEC 42001 standard is a reference for structuring artificial intelligence management systems.
Artificial intelligence certification based on ISO 42001 transforms the following basic concepts into a systematic structure:
- Explainable Artificial Intelligence:
It is ensured that the decision mechanisms of artificial intelligence systems are traceable, understandable and auditable. - Reliable Artificial Intelligence:
Predictable, consistent and technically secure operation of systems is guaranteed. - Responsible Artificial Intelligence:
Development and implementation processes are carried out in accordance with ethical values. - Artificial Intelligence Management:
Continuous monitoring, measurement, internal audit and improvement processes are structured within the organisation.
Artificial intelligence systems developed or implemented without certification bring significant risks both at the organisational and social level. The main risks are as follows:
- High administrative sanctions for non-compliance with the European Union’s AI Act regulation,
- Loss of public confidence as a result of systems not working transparently,
- Uncertified systems are not preferred by business partners and customer portfolio,
- Ethical problems such as data privacy violations, algorithmic bias and discrimination
In order to prevent such negativities, the certification process of artificial intelligence applications should be handled systematically, and a risk-based classification should be made. ISO/IEC 42001 defines three main system categories in this direction:
- High Risk Systems: Applications with high social impact such as autonomous driving technologies, biometric authentication systems and credit scoring algorithms.
- Sensitive Data Processing Systems: Areas where personal data is processed, such as health, education and digital platforms for children.
- Regulated Systems: Systems in public services such as immigration, law, transport and energy and subject to strict regulations.
We provide comprehensive training and certification services for the establishment, management and auditing of artificial intelligence systems under the ISO / IEC 42001 standard. Our course programs aim to improve the knowledge and competencies of both individual professionals and corporate teams in this field.
When establishing the ISO 42001 Standard in your organisation, you can shorten your audit processes by integrating it with other Management System standards, as the Annex structure is common. This allows you to be accredited in more than one standard with similar effort. For example:
- ISO 27001 Information Security Management System
- ISO 27701 Personal Data Management System
- ISO 27017 and ISO 27018 Data security in cloud systems
- ISO 22301 Business Continuity Management System
In addition to gaining theoretical knowledge during the training process, participants can improve their technical competencies with applied content for artificial intelligence systems.
Our course programs offered are as follows:
- ISO/IEC 42001 Artificial Intelligence Management System Awareness
- ISO/IEC 42001 Artificial Intelligence Management System Implementation
- ISO/IEC 42001 Artificial Intelligence Management System Internal Auditor
- ISO/IEC 42001 Artificial Intelligence Management System Lead Auditor
You can demonstrate to your stakeholders and competitors by auditing your organisation’s information and data security strategy within artificial intelligence systems. If you are unsure where to begin, feel free to contact us at info@cfecert.co.uk.
You can plan the training that your organisation needs, and you can assess your current situation by conducting a GAP analysis before performing a certification audit.
