Machine learning

Alternate Term Label:
Artificial neural networks
Deep learning
Neural network modelling
NARROWER TERMS:
Report

Open content activities in libraries: same direction, different trajectories

This report synthesises findings from the 2018-19 Global Council survey on current and future planned open content activities for a global cohort of research and university libraries.
Guide

Automated decision-making better practice guide

Technological advances have made it easier for agencies to make automated decisions. However, it is well recognised that automated systems have the potential to significantly impact the rights and privacy of individuals.
Report

Combining crowds and machines

New technologies, including artificial intelligence (AI), allow us to mobilise human intelligence in new ways and at greater scale. The COVID-19 pandemic has demonstrated the many uses of collective intelligence: from symptom-tracking apps to open-source production of medical equipment. But despite its potential, collective intelligence...
Briefing paper

Facial recognition technology: snapshot paper

This paper distinguishes between proven fact and speculation, and illustrates how facial recognition technology (FRT) can have markedly different implications for society depending on the type of system and the reasons for its use.
Report

From concentrated vulnerability to distributed lethality — or how to get more maritime bang for the buck with our offshore patrol vessels

This report proposes a way for the Australian government to acquire maritime war-fighting capability quickly and affordably while promoting Australian industry and the continuous Naval Shipbuilding Program.
Report

Weaponised deep fakes: national security and democracy

A deep fake is a digital forgery created through deep learning (a subset of AI). Deep fakes can create entirely new content or manipulate existing content, including video, images, audio and text. This paper argues that policymakers face a narrowing window of opportunity to minimise...
Report

Review of online targeting: final report and recommendations

Using machine learning, online targeting systems predict what content is most likely to interest people, and influence people to behave in a particular way. This research report shows that people welcome the convenience these systems offer, but express concern when they learn about the systems’...
Report

AI-driven personalization in digital media: political and societal implications

The fallout from disinformation and online manipulation strategies have alerted Western democracies to the novel, nuanced vulnerabilities of our information society. This paper outlines the implications of the adoption of artificial intelligence (AI) by the the legacy media, as well as by the new media...
Position paper

Responsible operations: data science, machine learning, and AI in libraries

This paper presents an interdependent set of technical, organisational, and social challenges to be addressed en route to library operationalisation of data science, machine learning, and artificial intelligence (AI).
Report

What jobs are affected by AI?

The analysis presented in this report demonstrates a new way to identify the kinds of tasks and occupations likely to be affected by AI’s machine learning capabilities, rather than automation’s robotics and software impacts on the economy.