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  1. Algorithms and dehumanization: a definition and avoidance model.Mario D. Schultz, Melanie Clegg, Reto Hofstetter & Peter Seele - forthcoming - AI and Society:1-21.
    Dehumanization by algorithms raises important issues for business and society. Yet, these issues remain poorly understood due to the fragmented nature of the evolving dehumanization literature across disciplines, originating from colonialism, industrialization, post-colonialism studies, contemporary ethics, and technology studies. This article systematically reviews the literature on algorithms and dehumanization (n = 180 articles) and maps existing knowledge across several clusters that reveal its underlying characteristics. Based on the review, we find that algorithmic dehumanization is particularly problematic for human resource management (...)
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  • “I spend more time on the ecosystem than on the disease”: caring for the communicative loop with everyday ADM technology through maintenance and modification work.Sne Scott Hansen & Henriette Langstrup - forthcoming - AI and Society:1-13.
    Automated decision-making (ADM) systems can be worn in and on the body for various purposes, such as for tracking and managing chronic conditions. One case in point is do-it-yourself open-source artificial pancreas systems, through which users engage in what is referred to as “looping”; combining continuous glucose monitors and insulin pumps placed on the body with digital communication technologies to develop an ADM system for personal diabetes management. The idea behind these personalized systems is to delegate decision-making regarding insulin to (...)
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