Caring for the monstrous algorithm: attending to wrinkly worlds and relationalities in an algorithmic society

Abstract

This text proposes that we, social analysts of algorithms, need to develop a split vision for the algorithm-as-technological-object and the algorithm-as-assemblage in order to effectively attend to, analyze, and critique algorithms in society. The point of departure is that we need to distance ourselves from a simplified and reductive understanding of algorithms-as-objects, and care for them as part of a relational algorithmic assemblage. A simplified notion of algorithms is problematic for two reasons: First, as it produces a reductive notion of the world where decision makers point to algorithms-as-objects to make simplified decisions about the world. Second, by taking a simplified and delineated object called “algorithm” as the point of departure for analysis and critique in an algorithmic society, we risk producing technologically deterministic understandings of complex and composite problems. We illustrate this argument through two example drawn from the handling of Covid-19 pandemic, where we attend to a universalist mathematical epidemiology and the particularities of field epidemiology to problematize how we should care for, understand, and analyze algorithms in society.