Fairness and Efficiency in the Review of Asylum Decisions: Data-Driven Insights and Lessons From Australia’s Failed Fast Track Process

Abstract Attempts to enhance efficiency in asylum processing by limiting procedural rights have often backfired, leading to poor decision-making, increased appeals, and longer delays. Australia’s recently abolished Fast Track review process at the Immigration Assessment Authority (IAA) provides an illustrative example of how this plays out in practice. This article draws on a novel data set collated by the Kaldor Centre Data Lab of decision-making outcomes at the IAA. The statistical analysis demonstrates that the IAA was neither fair nor efficient, and resulted in a system that was both slow and unjust. This analysis provides valuable lessons for the design and operation of Australia’s new Administrative Review Tribunal and other international reforms aimed at improving the efficiency of asylum review mechanisms. The article calls for a re-evaluation of the relationship between fairness and efficiency in this context, arguing that fairness enhances, rather than detracts from, efficiency.