AWAKENING TO ALGORITHMIC TRANSGRESSIONS: NON-USER DISCOVERY OF ALGORITHMIC DECISION MAKING

Selander, Lisen,1979Gothenburg University,Göteborgs universitet,Institutionen för tillämpad informationsteknologi (GU),Department of Applied Information Technology (GU),University of Gothenburg (författare)

LIBRIS-ID:oai:gup.ub.gu.se/337863
https://gup.ub.gu.se/publication/337863URI
https://doi.org/10.5465/AMPROC.2023.17bpDOI
https://research.hhs.se/esploro/outputs/conferencePaper/Awakening-to-Algorithmic-Transgressions-Non-Users-Discovery/991001524896006056URI

Algorithmic decision-making has become increasingly prevalent in civil society, often without individuals' awareness that decisions targeting them are delegated to machines. There is a growing need to understand how non-users can begin to suspect that they have been targeted by an algorithm and how they can uncover the hidden nature associated with these systems. In resource-scarce environments, such as the public sector, tracing transgressions to the algorithm is crucial to protect social justice and public trust in institutions. Building on the work of von Krogh (2018), this research examines the emotional, abductive, and collective work associated with algorithmic discovery.

Kronblad, CharlottaStockholm School of Economics,Handelshögskolan i Stockholm(Swepub:hhs)4955@hhs.se (författare)
Jarvenpaa, Sirkka L.The University of Texas at Austin (författare)
Göteborgs universitetInstitutionen för tillämpad informationsteknologi (GU) (creator_code:org_t)

Ingår i:Academy of Management Annual Meeting ProceedingsNew York : Academy of Management0065-06682151-6561

Av författaren/redakt...: Selander, Lisen, ...; Kronblad, Charlo ...; Jarvenpaa, Sirkk ...

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