Machine learning

ALTERNATIVE LABELS
Artificial neural networks
Deep learning
Neural network modelling
NARROWER TERMS
Report

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...
Briefing paper

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...
Report

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...
Briefing paper

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.
Report

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.
Report

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.
Report

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...
Working paper

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...
Report

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...
Technical report

Using artificial intelligence to make decisions: addressing the problem of algorithmic bias

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.