Connecting Algorithmic Fairness to Quality Dimensions in Machine
Learning in Official Statistics and Survey Production
Connecting Algorithmic Fairness to Quality Dimensions in Machine
Learning in Official Statistics and Survey Production
National Statistical Organizations (NSOs) increasingly draw on Machine Learning (ML) to improve the timeliness and cost-effectiveness of their products. When introducing ML solutions, NSOs must ensure that high standards with respect to robustness, reproducibility, and accuracy are upheld as codified, e.g., in the Quality Framework for Statistical Algorithms (QF4SA; Yung …