Just Because We Can, Doesn’t Mean We Should: Algorithm Aversion as a Principled Resistance

dc.contributor.author Hannon, Oliver
dc.contributor.author Ciriello, Raffaele
dc.contributor.author Gal, Uri
dc.date.accessioned 2023-12-26T18:48:47Z
dc.date.available 2023-12-26T18:48:47Z
dc.date.issued 2024-01-03
dc.identifier.isbn 978-0-9981331-7-1
dc.identifier.other bac99fb7-cb41-46b4-807b-d045f8462e3c
dc.identifier.uri https://hdl.handle.net/10125/107115
dc.language.iso eng
dc.relation.ispartof Proceedings of the 57th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Dark Sides of Digitalization
dc.subject algorithm aversion
dc.subject critical literature review
dc.subject ethical analysis
dc.subject non-use
dc.subject values
dc.title Just Because We Can, Doesn’t Mean We Should: Algorithm Aversion as a Principled Resistance
dc.type Conference Paper
dc.type.dcmi Text
dcterms.abstract This paper problematizes the literature on the non-use of algorithmic decision-making systems (ADMS), commonly examined as algorithm aversion. Whilst prior literature attributes algorithm aversion primarily to human bias and irrationality, assuming utility-based evaluations, we argue that it may also stem from values-based evaluations of technology, which are overlooked. Through an integrated ethical analysis, drawing upon the “big three” ethical theories of consequentialism, deontology, and virtue ethics, we examine implicit normative judgments within the algorithm aversion literature. Consequently, we positively reframe algorithm aversion as a potentially principled resistance to ADMS, expanding prior views of the phenomenon. We argue that such resistance may be constructive and lead to a better alignment of ADMS with societal needs and values. Thus, we call on IS scholars to explore this phenomenon as an ethical and sociotechnical issue, rather than as a costly problem to be mitigated, as prior literature might suggest.
dcterms.extent 10 pages
prism.startingpage 6076
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