Machine learning
Alternative labels
Neural network modelling
Artificial neural networks
Deep learning
Large language model (LLM)
Discussion paper
An open and data-driven taxonomy of skills extracted from online job adverts
In this work we offer an open and data-driven skills taxonomy, which is independent of ESCO and O*NET, two popular available taxonomies that are expert-derived. Since the taxonomy is created in an algorithmic way without expert elicitation, it can be quickly updated to reflect changes in labour demand and provide timely insights to support labour...
Guide
Artificial Intelligence primer
Members of the Victorian Parliament have established an All-Party Group on Artificial Intelligence (AI) to learn more about this technology and the impacts it will have on Victorians in the future. This primer provides a basic explanation of some of the key issues surrounding AI.
Report
The Commonwealth Bank jobs and skills of the future report
This report shares useful insights for individuals, families and organisations about what can be done today to shape a positive future of work for all Australians.
Report
Digitally-enabled automation and artificial intelligence: shaping the future of work in Europe's digital front-runners
Technology in many ways is perfectly conceived to operate in the workplace, bringing an ability to operate around the clock at increasing levels of accuracy and productivity. Since the Industrial Revolution, machines have been the ideal colleague, performing some of the most mind-numbing tasks and freeing up human partners to do more interesting and productive...
Report
Artificial intelligence and public policy
There is growing interest in the market potential of artificial intelligence (AI) technologies and applications as well as in the potential risks that these technologies