Drawing from interviews with global experts, topic workshops and content research, this scoping paper aims to provide the reader with an understanding of algorithmic decision-making processes and the challenges they pose to our existing understanding of accountability across different contexts. It offers a map of existing technical and governance mechanisms for both identifying and addressing algorithmic harms and bias, as well as a set of recommendations and entry points for the Web Foundation and other stakeholders to contribute to this emerging field most effectively.