This report identifies three major digital barriers to economic justice arising from the COVID-19 pandemic—the collapse of benefits automation, expanded workplace and school surveillance, and the digital profiling of economic distress. The report uses a data justice framework to suggest how policy-makers might mitigate the harms experienced by low-socioeconomic status communities.

The synthetic income measure developed in this project provides a robust measure of income levels and dynamics for a very large sample of Australian adults, and if analysed carefully, can help support our understanding of access to economic resources in Australia and how it varies through time.

Effective cardiovascular disease (CVD) prevention relies on timely identification and intervention for individuals at risk. Conventional formula-based techniques have been demonstrated to over-or under-predict the risk of CVD in the Australian population. This study assessed the ability of machine learning models to predict CVD mortality risk in the Australian population and compare performance with the...

The research shows that Facial Recognition Technology (FRT) is increasing in usage in Aotearoa and comparable countries. It is used across sectors including government departments, policing, banking, travel, security, and customer tracking. In this report, the authors argue that if regulation gaps aren't plugged soon, the impacts on human rights are potentially extensive.

This report explores how the problem of algorithmic bias can arise in decision making that uses artificial intelligence (AI). This problem can produce unfair and potentially unlawful decisions.