Recent developments in European statistical systems point to the growing integration of advanced statistical automation techniques into the production of official evidence. In this context, artificial intelligence should not primarily be understood as generative technology, but rather as a set of statistical and computational methods designed to support the comparability and integration of dataacross Member States. This paper examines cross-country imputation and harmonisationprocesses applied to labour market statistics and harmonised social surveys produced within the Eurostat system. The analysis explores how increasing reliance on statistical automation reshapes the relationship between comparability, data quality and methodological transparency in the production of European official statistics. The paper argues that statistical automation reorganises data integration and validation processes, contributes to constructing operational categories through which social differences become measurable, and raises new governance challenges concerning traceability, accountability and transparency within European statistical infrastructures.
G. Monteduro (Tue,) studied this question.
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