The past five years of scholarship has seen a steady stream of critical studies of algorithms, datafication and AI within the human and social sciences in particular, calling for accountability, transparency and regulatory oversight of automated decision-making systems. Empirical studies of the human impacts of automated decision-making are still scarce, and we have yet to establish systematic research and empirical evidence for the role and consequences of ADM in contemporary society. This network brings together scholars from computer science, law, anthropology, and media and communication research to convene an interdisciplinary research agenda, crosspollinated by different strands of theory and research practice, and explore and devise pathways for the empirical study of automated decision-making in the Nordic context. We concentrate on public sector ADM projects in the welfare states of Scandinavia with the aim of exploring what might be their particular strengths and challenges.
