Re-humanizing automated decision-making

The growing use of automated decision-making (ADM) in the public sector and in companies is making automation increasingly relevant to the everyday experience. Automation is often thought of as the operation of machines without active human involvement. Yet, humans support automation: as systems designers, data sources, data interpreters and decision makers. Through the investigation of various ADM cases, ranging from credit scoring to predictive analytics for child welfare services, we examine the delegation of responsibilities to machines and its human implications. We aim at re-humanizing automated decision-making by uncovering the human forces at play. By doing so, we strive to re-invigorate our imaginary capacities in order to provide new perspectives on everyday automation. The move towards re-humanizing opens possibilities for identifying harms and benefits that are currently not addressed and equips us with new ways of designing less discriminatory automated process