Rethinking Data Quality for AI-Driven Systems: Evidence from Practitioner Interviews.

arXiv:2609.31191v1 Announce Type: cross Abstract: Data quality research has usually treated data as an input that is stored, processed, and validated. In AI-driven software-intensive systems, data also shapes model behavior, evaluation, and lawful use. Empiric