ABSTRACT
This chapter draws on decolonial and critical algorithm studies to analyze the racial dynamics of predictive policing algorithms. Insights from both fields suggest that, although the algorithms appear to reflect liberal race-neutral logics of objectivity and scientific neutrality, remedial strategies are required to address the risk of exclusionary design processes that can foment essentialist perceptions of a link between race and crime risks. In exploring these issues, the paper advances the extant literature on the societal impact of data-driven predictive algorithms deployed by justice systems.
