(Non)negotiable spaces of algorithmic governance: Perceptions on the Ubenwa health app as a ‘relocated’ solution

Abstract

This study explores relocated algorithmic governance through a qualitative study of the Ubenwa health app. The Ubenwa, which was developed in Canada based on a dataset of babies from Mexico, is currently being implemented in Nigeria to detect birth asphyxia. The app serves as an ideal case for examining the socio-cultural negotiations involved in re-contextualising algorithmic technology. We conducted in-depth interviews with parents, medical practitioners and data experts in Nigeria; the interviews reveal individuals’ perceptions about algorithmic governance and self-determination. In particular, our study presents people’s insights about (1) relocated algorithms as socially dynamic ‘contextual settings’, (2) the (non)negotiable spaces that these algorithmic solutions potentially create and (3) the general implications of re-contextualising algorithmic governance. This article illustrates that relocated algorithmic solutions are perceived as ‘cosmopolitan data localisms’ that extend the spatial scales and multiply localities rather than as ‘data glocalisation’ or the indigenisation of globally distributed technology.

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“…We are still attempting to understand heir effects on society (Woolley, 2016; Marčetić and Nolin, 2017;van Es, et al, 2021). Algorithms actually have become nearly indispensable in our data-saturated world, from social media feeds and customized search engine recommendations to airport flight schedules, credit checks, financial trading decisions (Gillespie, 2014), traffic control (Wijermars and Makhortykh, 2022), and medical interventions (Masso, et al, 2022). As a potent instrument to boost government efficiency and effectiveness, algorithms in public governance have been promoted (O'Reilly, 2011;Margetts and Dunleavy, 2013).…”