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ISO 5259-3 Artificial intelligence - Data quality for analytics and machine learning (ML) - Part 3: Data quality management requirements and guidelines

About ISO/IEC 5259-3:2024

 

ISO/IEC 5259-3:2024 defines the requirements and guidelines for managing data quality in analytics and machine learning. It establishes a framework for organizations to implement a Data Quality Management System (DQMS) that ensures data used for AI is reliable, accurate, and trustworthy.

 

Why Certification?

 

  • Certification provides independent assurance that your organization:

  • Manages data quality in line with international standardsReduces risks of bias, inaccuracy, and compliance failures

  • Builds trust with regulators, partners, and customers

  • Demonstrates leadership in responsible AI practices

 
Our Role as a Certification Body

 

As an accredited certification body, we:

  • Conduct independent audits and assessments against ISO/IEC 5259-3.

  • Issue certification upon successful compliance.​

  • Carry out surveillance audits to ensure ongoing conformity.

 

We do not provide consultancy or implementation support. Implementation of the standard must be carried out by the organization itself or external advisors.

 
Training Opportunities
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We provide open-house training courses on ISO/IEC 5259-3 for organizations seeking to enhance understanding of the standard. These sessions are not consultancy but provide valuable knowledge to help clients prepare for certification.

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Get Certified

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Ready to demonstrate your commitment to trustworthy data and AI?

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Contact us today to begin your journey toward ISO/IEC 5259-3:2024 certification.

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