Interactions of Human and Machine Intelligence in Modern Economic Systems

Large-scale rapid interactions between algorithms and people are common place, such as financial trading, online ad auctions, ride-sharing and delivery services. Behaviours of these large economic systems are poorly understood, which has led to stock market flash crashes, delivery workers feeling dehumanised by algorithms, and large platforms gaining unfair advantages for their own products. This project aims to establish new theory and algorithms for promoting the stability and efficiency of online economies, and incorporate human values such as fairness, accountability and transparency. This project will build software tools to demonstrate and diagnose potential issues in online economic systems. With between 7% and 13% Australians participating in flexible employment including the gig economy, healthy and stable online economies will create jobs and help the long-term future of Austra