When AI Enters Federal Statistics: A Crosswalk Between Data Quality and AI Trustworthiness Frameworks

Federal agencies using AI in statistical production face two frameworks that don't reference each other: FCSM 20-04 (data quality) and NIST AI RMF 1.0 (AI trustworthiness). This paper presents the first systematic crosswalk between them, mapping relationships across 11 FCSM dimensions and 72 NIST subcategories. It identifies structural gaps in both frameworks, and two experimental implementations demonstrate the crosswalk in practice. A complete bidirectional mapping is provided in the appendix.