Artificial neural networks
Neural network modelling
Advancing child sexual abuse investigations using biometrics and social network analysis
Stephen Patterson, David Bright, Arun Ross, Katie Logos, Dana Michalski
This paper demonstrates how biometric features can be extracted from people in child sexual abuse material (CSAM) and examines using social network analysis to reveal important patterns across seized media files.
Linking scholarly articles to SDGs: an automated approach
Shana Chong, Marc Arul Weissmann, Markson Wee Chien Chin, Weng Marc Lim, Tania Sabatino
This paper proposes methodological approaches to automatically categorise journal articles into one or more Sustainable Development Goals (SDGs). The authors collaborate with Swinburne University of Technology researchers to collect a set of sustainable development articles with topics covering all SDGs.
Effects of digitalization on the human centricity of social security administration and services
The author of this working paper argues that there is no substitute for sound, evidence-based policy development to support a human-centric approach to social policy and government to service delivery. To enhance the benefits from AI while minimising the adverse risks, social security administration needs...
Charting the course to tomorrow’s trusted digital services
This report focuses on how leaders in Australia are adapting their approach to delivering services effectively and efficiently, in a fashion that leverages digital technology and builds public trust. The report draws on the findings of an expert roundtable with senior leaders from a variety...
Machine learning in public policy: the perils and the promise of interpretability
Machine learning (ML) can have a significant impact on public policy by modelling complex relationships and augmenting human decision-making. In this report, the authors give an overview of ML and discuss the importance of its interpretability.
Global AI cooperation on the ground: AI research and development on a global scale
This paper recommends that Forum for Cooperation on Artificial Intelligence (FCAI) governments, stakeholders and other likeminded entities prioritise cooperative research and development efforts on deployment of artificial intelligence as a tool for climate change monitoring and management and accelerating development and adoption of privacy enhancing...
A policy framework for responsible limits on facial recognition use case: law enforcement investigations
Remote biometric technologies – in particular, facial recognition – have gained a lot of traction in the security sector in recent years. This report presents a set of proposed principles for the use of facial recognition in law enforcement investigations, along with a self-assessment questionnaire...
Machine learning models for identifying pre-frailty in community dwelling older adults
The results of this study indicate that machine learning methods are well suited for predicting pre-frailty, and indicate a range of factors that may be useful to include in targeted health assessments to identify pre-frailty in middle aged and older adults.
Facial recognition technology: towards a model law
This report responds to growing calls for reform around the use of facial recognition technology from leading voices in civil society, the private sector, government and academic experts. It outlines a model law to regulate the development and use of FRT in order to protect...
Accountability and justice: why we need a Royal Commission into Robodebt
The Income Compliance Program impacted hundreds of thousands of people and, for many, resulted in devastating emotional and psychological harm. It has undermined many people's financial security, as well as their willingness to engage with and trust government services. This inquiry report recommends that the...
Towards just and resilient supply chains for a digital CBD
Just and resilient supply chains are fundamental to the development of a digital CBD. In order to build digital cities, digital supply chains need to be built first. This report examines the challenges and opportunities through web3 technology to build more resilient, secure and just...
Predicting high-harm offending using machine learning: an application to outlaw motorcycle gangs
The nature of offending by outlaw motorcycle gangs (OMCGs), and policing responses, requires a novel approach to risk assessment. This study uses machine learning methods to develop a risk assessment tool to predict recorded high-harm offending. Results are compared with those of a model predicting...
Autonomous weapons systems: New Zealand policy position and approach for international engagement
This document seeks Cabinet agreement on New Zealand's policy position on autonomous weapons systems.
The new machinery of government: using machine technology in administrative decision-making
The NSW Government’s first digital strategy spoke of the need for government to be ‘digital by design’ and ‘digital by default'. This report is about the shift toward machine technologies, a term used for the broad range of digital and data enabled systems and processes...
Facial recognition technology: responsible use principles and the legislative landscape
The rapid development of facial recognition technology requires an exploration of how to use it responsibly, complemented in this report by an overview of the current legislative landscape in the United States.
Facing the risk
Thanks to a decade of rapid progress in the field of computer vision, facial recognition technology (FRT) has become a commercial product available to almost any government or business in the world. This report examines how operators and policymakers can craft an appropriate and tailored...
Training product similarity analysis
This paper outlines the methodology used in the exploratory analysis of the similarity of VET courses across and within training packages in Australia. The analysis employed natural language processing to calculate similarity scores for each national VET qualification to all other qualifications across all training...
Tools for trustworthy AI: a framework to compare implementation tools for trustworthy AI systems
This report presents a framework for comparing tools and practices to implement trustworthy artificial intelligence (AI) systems as set out in the OECD AI Principles. The framework aims to help collect, structure and share information, knowledge and lessons learned to date on tools, practices and...
State of implementation of the OECD AI Principles
This is the first report on the state of implementation of the policy recommendations to governments contained in the OECD Principles on Artificial Intelligence (AI) adopted in May 2019.
How does facial recognition work? A primer
As policy-makers consider how to regulate facial recognition, it is important that their efforts be grounded in fact. This report provides an examination of how the technology works and how to understand questions about its performance and operation.
Somebody might hear us: emerging communications security technologies
This report outlines the principles of secure communication, and uses some examples of emerging technologies to illustrate what the next generation of secure communications might look like.
Digital barriers to economic justice in the wake of COVID-19
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...
Using census, social security and tax data from the Multi-Agency Data Integration Project (MADIP) to impute the complete Australian income distribution
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...
Predicting Australian adults at high risk of cardiovascular disease mortality using standard risk factors and machine learning
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...
Facial recognition technology in New Zealand
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...