The Birth of AI-driven Nudges

dc.contributor.authorNyman, Stig
dc.date.accessioned2022-12-27T19:17:48Z
dc.date.available2022-12-27T19:17:48Z
dc.date.issued2023-01-03
dc.description.abstractAI 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.
dc.format.extent10
dc.identifier.doi10.24251/HICSS.2023.642
dc.identifier.isbn978-0-9981331-6-4
dc.identifier.urihttps://hdl.handle.net/10125/103276
dc.language.isoeng
dc.relation.ispartofProceedings of the 56th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectAI, Organizing, and Management
dc.subjectalgorithmic control
dc.subjectalgorithmic management
dc.subjectcritical is research
dc.subjectgenealogy
dc.subjectnudging
dc.titleThe Birth of AI-driven Nudges
dc.type.dcmitext
prism.startingpage5252

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