The Birth of AI-driven Nudges

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Abstract

AI methods allow for a multitude of new forms of managerial control. One is algorithmic nudging, in which organizations use AI methods to control workers through targeted recommendations. Drawing upon Michel Foucault's analytical strategies, the paper examines the intellectual heritage and ideological roots of AI-nudges. Scholars have commented on the resemblance between algorithmic nudging and Taylorist scientific management. However, as this paper shows the discourse of AI-nudges also shares significant linages with other subsequent opposing managerial paradigms. Building on the analysis of AI-nudges linages, the paper discusses how their use implies three contestable presumptions 1) that work can be codified, 2) that workers require autonomy over their work, and 3) that there is no existing conflict of interest between workers and the organization.
Original languageEnglish
Title of host publicationProceedings of the 56th Hawaii International Conference on System Sciences
EditorsTung X. Bui
Number of pages10
Place of PublicationHonolulu
PublisherHawaii International Conference on System Sciences (HICSS)
Publication date2023
Pages5252-5261
ISBN (Electronic)9780998133164
DOIs
Publication statusPublished - 2023
EventThe 56th Hawaii International Conference on System Sciences. HICSS 2023 - Lahaina, United States
Duration: 3 Jan 20236 Jan 2023
Conference number: 56
https://hicss.hawaii.edu/

Conference

ConferenceThe 56th Hawaii International Conference on System Sciences. HICSS 2023
Number56
Country/TerritoryUnited States
CityLahaina
Period03/01/202306/01/2023
Internet address
SeriesProceedings of the Annual Hawaii International Conference on System Sciences
ISSN1060-3425

Keywords

  • Algorithmic control
  • Algorithmic management
  • Critical IS research
  • Genealogy
  • Nudging

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