Sources of Uncertainty in Machine Learning - A Statisticians' View. - Cornelia Gruber; Patrick Oliver Schenk; Malte Schierholz; Frauke Kreuter; Göran Kauermann (CoRR, 2023)

Connecting algorithmic fairness to quality dimensions in machine learning in official statistics and survey production. - Patrick Oliver Schenk; Christoph Kern 001 (AStA Wirtschafts und Sozialstatistisches Arch., 2024)

Fares on Fairness: Using a Total Error Framework to Examine the Role of Measurement and Representation in Training Data on Model Fairness and Bias. - Patrick Oliver Schenk; Christoph Kern 001; Trent Buskirk (EWAF, 2025)