CEN/CLC/TR 18115:2024, titled “Data governance and quality for AI within the European context,” was published on November 6, 2024. This technical report provides a comprehensive overview of AI-related standards, focusing on data governance and data life cycles. It aims to guide organizations, agencies, enterprises, developers, universities, researchers, and other stakeholders navigating the era of digital transformation.
Key features of CEN/CLC/TR 18115:2024
- Data governance: The report outlines frameworks and best practices for managing data throughout its lifecycle in AI systems.
- Data quality: It addresses crucial aspects of data quality, including measures and models to ensure the reliability and accuracy of AI-driven processes.
- Testing and evaluation: The standard provides elements for data and dataset properties to enable unbiased evaluation and testing of AI systems.
- Regulatory alignment: It takes into account various European regulations and directives, including the AI Act, Data Governance Act, and GDPR.
- Standardisation: The report aims to promote a common language and quality culture in AI development and deployment.
Benefits for organisations
- Improved AI development: By following the guidelines, companies can enhance the quality and reliability of their AI systems.
- Regulatory compliance: The report helps organizations align with current and upcoming European AI and data regulations.
- Risk mitigation: Implementing the outlined data governance and quality practices can reduce risks associated with AI deployment.
- Ethical considerations: The standard addresses ethical aspects of AI, helping companies develop more responsible AI systems.
- Cross-sector applicability: The guidelines are relevant to various industries, from healthcare to finance and public administration.
CEN/CLC/TR 18115:2024 serves as a crucial resource for organizations looking to develop, implement, or use AI systems within the European context. By providing a structured approach to data governance and quality, it helps businesses navigate the complex landscape of AI development while ensuring compliance with European standards and regulations.