Organising artificial intelligence and representing work

Bastian Jørgensen, Christopher Gad, Brit Ross Winthereik

Research output: Conference Article in Proceeding or Book/Report chapterBook chapterResearchpeer-review


This chapter explores effects of the implementation of artificial intelligence (AI) on the organisation of work in the Danish Customs and Tax Administration in a situation where a machine learning algorithm was expected to make the work of customs officers more efficient. The chapter highlights how experiments with machine learning algorithms may redraw intra-organisational boundaries, responsibilities, as well as divisions and meanings of work. The implementation of the machine learning algorithm, as a particular form of AI, in this case, led attention towards data and IT systems, at the expense of the very work the technology was intended to support. One concern at play here, we argue, is that AI developers seem to have generally abandoned the idea of representing work, making it ever more important that ethnographers do so.
Original languageEnglish
Title of host publicationAn Anthropology of Futures and Technologies
Editors Débora Lanzeni, Karen Waltorp, Sarah Pink, Rachel C. Smith
Number of pages12
PublisherBloomsbury Academic
Publication date2023
ISBN (Print)9781350144910
ISBN (Electronic)9781003084471
Publication statusPublished - 2023


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