Algorithmic accountability is the academic concept and associated research field concerned with establishing mechanisms, processes, and responsibilities to ensure that algorithmic systems and their outcomes are transparent, fair, auditable, and attributable to identifiable entities or individuals. It investigates how to assign responsibility for the impacts of automated decision-making, focusing on socio-technical systems, governance frameworks, and methods for oversight and redress to mitigate potential harms and foster trust in algorithmic technologies.