#United States #Bloomfield #SGS #ISO/IEC 5259-3 #AI Clearing

SGS Awarding First-Ever ISO/IEC 5259-3 Certificate for AI Data Management Excellence

In a remarkable milestone for artificial intelligence and machine learning, SGS has awarded AI Clearing the world’s inaugural ISO/IEC 5259-3 certification. This certification represents a significant step in establishing international benchmarks for data quality management within AI systems. The ISO/IEC 5259-3 certification acknowledges AI Clearing's leadership in managing the quality of data essential for reliable AI and ML technologies.

The Importance of ISO/IEC 5259-3 Certification

AI Clearing's pursuit of the ISO/IEC 5259-3 certification reflects the company’s dedication to transforming infrastructure analytics through responsible AI governance. This certification builds upon their existing accolades, including ISO/IEC 42001, ISO 9001, ISO 45001, and ISO/IEC 27001, which encompass quality management, occupational health and safety, and information security. These certifications collectively form a robust integrated management system that underpins AI Clearing's operations.

Michael Mazur, CEO and co-founder of AI Clearing, emphasized the significance of the ISO/IEC 5259-3 certification, stating, “This certification is a cornerstone for building AI systems that are not only innovative but also reliable and auditable. It validates our commitment to data quality, which is the backbone of our AI models.” The certification underscores the importance of trust and accountability in the development and deployment of AI systems.

What is ISO/IEC 5259-3?

ISO/IEC 5259-3 is part of the ISO/IEC 5259 series that focuses on data quality for analytics and machine learning. This particular segment outlines the requirements and guidance necessary to establish, implement, maintain, and continuously improve data quality management systems for analytics and ML. The overall aim is to enable organizations to:

• - Implement structured and auditable data quality processes.
• - Enhance the reliability and precision of ML models.
• - Adopt a standardized approach to data quality management.
• - Assure stakeholders with adherence to international best practices.
• - Contribute positively towards the United Nations Sustainable Development Goals, particularly in industry innovation and responsible consumption.

This framework is versatile and capable of being applied across various organizational types and sizes, thus providing a practical solution for responsible AI deployment.

Integration of ISO/IEC 5259-3 with Existing Standards

By integrating ISO/IEC 5259-3 with ISO/IEC 42001, AI Clearing has created a comprehensive framework for AI governance. While ISO/IEC 42001 provides a management system for the development, implementation, and oversight of AI systems, ISO/IEC 5259-3 offers a deeper insight into the governance and quality of the data that these systems utilize. Such integration ensures that the organization adheres to high quality and ethical standards when managing data across its AI platforms.

AI Clearing has successfully leveraged both standards to maintain high operational integrity. ISO/IEC 42001 helps outline the risk management processes, while ISO/IEC 5259-3 guarantees that the data within AI models is accurate and traceable. The synergy between these standards establishes AI Clearing's ability to deliver AI solutions that meet not only technical requirements but also ethical considerations.

The SGS Audit Experience

The certification audit was conducted by SGS's Digital Trust Assurance team, known for its expertise in emerging AI standards. Cezary Zagórski, a SGS auditor, shared his insights, commending AI Clearing for its maturity in AI governance and data life cycle management. He remarked, “Their integrated management system provided a strong foundation for implementing ISO/IEC 5259-3 and highlighted their effective data quality processes deeply embedded in their AI development lifecycle.”

The audit scrutinized various aspects of AI Clearing's operations, including:

• - Data acquisition and labeling methods.
• - Metrics and controls for data quality.
• - The traceability and auditability of datasets.
• - Integration of data quality within machine learning model development.
• - Mechanisms for ongoing improvement.

Mr. Mazur noted that working with SGS has been pivotal in their journey towards AI assurance. He highlighted the collaborative nature of the audit process, which facilitated the strengthening of AI Clearing’s systems.

Future Aspirations

With the award of the ISO/IEC 5259-3 certification, AI Clearing continues to spearhead advancements in AI governance. The company is committed to expanding its capabilities while upholding the highest standards of data integrity, security, and ethical practices. “This certification is merely the foundation for greater accomplishments,” declared Mr. Mazur. “As AI technology becomes more integrated into critical infrastructure, trustworthy data and transparent management will be significant differentiators. We are proud to lead in setting that standard.”

This achievement aligns with SGS’s Strategy 27 of accelerating growth and building trust, highlighting its pivotal role in the evolving landscape of digital services aimed at improving operational efficiency and mitigating risk amid complex digital environments.

About SGS

SGS stands as the world’s foremost Testing, Inspection, and Certification authority with a global network of over 2,500 laboratories and business facilities across 115 countries. Backed by a workforce of 99,500 skilled professionals, SGS is committed to delivering precise services that adhere to the highest quality, compliance, and sustainability standards. The commitment, encapsulated in the brand promise “when you need to be sure,” underscores its efforts in fostering trust and reliability in the organizations it serves.