What Is ISO/IEC 5259?
ISO/IEC 5259 is a multi-part series of international standards addressing data quality for analytics and machine learning, covering quality measures, processes, governance, and management of training and operational data.
ISO/IEC 5259 — a multi-part series of international standards addressing data quality for analytics and machine learning, covering quality measures, processes, governance, and management of training and operational data.
The ISO/IEC 5259 series operationalises a truth most AI failures trace back to: poor data quality drives poor, unfair, or legally indefensible outcomes. It complements the lifecycle framing of ISO/IEC 23053 and the management system of ISO/IEC 42001 by setting out how to define, measure, and govern data quality across the AI lifecycle.
Source: ISO/IEC 5259 (series)
Plain-language explanation
The ISO/IEC 5259 series operationalises a truth most AI failures trace back to: poor data quality drives poor, unfair, or legally indefensible outcomes. It complements the lifecycle framing of ISO/IEC 23053 and the management system of ISO/IEC 42001 by setting out how to define, measure, and govern data quality across the AI lifecycle.
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