ISO-IEC 8183:2023

How do we standardize data processing for AI systems?

The ISO/IEC 8183 standard offers a robust framework for understanding and managing the life cycle of data in artificial intelligence (AI) systems. It outlines 10 distinct stages, guiding organizations from the initial conception of an AI system through its eventual decommissioning. With its emphasis on structured actions and comprehensive data governance, ISO/IEC 8183 is applicable to all organizations, regardless of type, size, or sector.

The Ten Stages of the AI System Life Cycle

ISO/IEC 8183 identifies the following stages, each with specific goals and associated actions:

• 1. Idea Conception: Recognizing the need for a new or revised AI system, aligning it with organizational objectives.
• 2. Business Requirements: Defining the scope, goals, and necessary resources for system development.
• 3. Data Planning: Outlining data needs, including sourcing, security, and storage.
• 4. Data Acquisition: Gathering the data required, whether from internal or external sources.
• 5. Data Preparation: Cleaning, organizing, and enriching data to ensure usability and relevance.
• 6. Building a Model: Developing and validating AI models using the prepared data.
• 7. System Deployment: Implementing the system in its target environment, ensuring all components function as expected.
• 8. System Operation: Monitoring and refining the system to maintain performance and meet evolving needs.
• 9. Data Decommissioning: Securely managing data that is no longer in use, including archiving or deletion.
• 10. System Decommissioning: Retiring the AI system while ensuring compliance with regulatory and organizational policies.

Benefits of Following ISO/IEC 8183

Organizations adopting this standard gain the ability to:

• · Optimize Data Management: Ensure data quality, security, and compliance throughout the AI system's lifecycle.
• · Enhance Operational Efficiency: Streamline processes and minimize risks.
• · Build Trust and Accountability: Strengthen stakeholder confidence in the organization's AI practices.

Broad Applicability

Whether you are a government agency, a tech company, or a non-profit organization, ISO/IEC 8183 provides valuable guidance for AI system development and governance. By following this standard, you can better align your AI systems with global best practices and societal expectations.