analiza aiqbench

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.