AI and other advanced technologies are increasingly deployed in governmental decision-making, including for fundamentally important decisions. Traditional methods of redress for grievances, such as ombudsmen and judicial review, were designed to focus on processes of human decision making, which might not be applicable in cases involving components or whole decisions made by automated processes. There is a dearth of legal precedents for such issues, and theoretical implications of law in this area are typically lagging behind rapid technological and governmental developments. More timely and comprehensive insights are needed to understand emerging administrative justice issues. This paper explores the utilisation of empirical qualitative documentary analysis as a viable methodology to categorise the challenges in reviewing administrative automated decisions grievances, demonstrating the application of systematic review and thematic analysis to derive insights for legal development.
Ali Alshehri (Mon,) studied this question.