Algorithm as fact: Judicial review of the transparency of algorithms in government decision-making

This project builds on the lessons from Robodebt to address the need to understand the working, and impact, of automated processes in government. The problem with robo-debt lay not in the idea, but in the ¬execution. The system was riddled with design flaws. Robodebt is a textbook example of how not to deploy technology in government decision-making. An initiative designed to save revenue has instead led the federal government to repay $721m to 373,000 people. However, care must be taken not to draw the wrong lessons¬. One flawed program does not destroy the case for governments to use technology to improve services and ensure public money goes to the right recipients.

Algorithm Image
Dr Daniel Stewart

Updated:  10 August 2015/Responsible Officer:  College General Manager, ANU College of Law/Page Contact:  Law Marketing Team