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ETSI's new technical report establishes 18 standardized metrics to quantitatively assess data quality, directly addressing the foundational need for reliable inputs in AI systems. By defining specific measures for fairness, privacy, and usability across diverse datasets like IoT sensors and demographic records, this framework provides a reproducible method for identifying bias and ensuring data fitness for purpose before model training begins. This standardization is critical for building trustworthy AI ecosystems where data integrity dictates system performance and ethical compliance.

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ETSI launches new framework to measure data quality, a key enabler for trustworthy AI

ETSI NewsroomSeptember 3, 20263 min read

New Technical Report defines 18 standardised metrics to assess data quality, with Proof of Concept demonstrating how they can be applied to real-world datasets The post ETSI launches new framework to measure data quality, a key enabler for trustworthy AI appeared first on ETSI.

ETSI today announces the launch of its new Technical Report (TR) ETSI TR 104 180: Data Solutions; Development and identification of Data Quality Metrics, a standardised framework for quantitatively assessing the quality of data used across digital and AI ecosystems. The framework will help organisations determine whether data is fit for their…

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