The Impact of Generative AI on Data Quality

Generative AI introduces new complexities to the concept of data quality, diverging from traditional data management practices. Unlike prior tools that often kept a human in the loop, generative AI applications frequently operate autonomously, which complicates maintaining data integrity. The absence of human oversight in many generative AI systems poses significant challenges, particularly when these systems interact directly with customers. This shift necessitates a reevaluation of quality standards that were previously applied to structured data, now needing to encompass unstructured data and new methodologies for quality assessment.