This report was prepared as part of the New Zealand Law Foundation-funded project: Artificial Intelligence and Law in New Zealand. The overall focus of the report is on the regulatory issues surrounding uses of AI in New Zealand.

Artificial intelligence (AI)- and machine learning (ML)-based technologies have the potential to transform healthcare by deriving new and important insights from the vast amount of data generated during the delivery of healthcare every day. Example high-value applications include earlier disease detection, more accurate diagnosis, identification of new observations or patterns on human physiology, and development...

This draft consultation outlines eight ethical principles to guide the development of professional and practice standards regarding the research and deployment of machine learning (ML) systems and artificial intelligence (AI) tools in medicine, specifically with regards to clinical radiology and radiation oncology.

In this episode of the Applied Podcast, Professor Hugh Bradlow FTSE, President of Australian Academy of Technology and Engineering explains how machine learning can navigate big data, deriving patterns from data with no obvious mathematical causal relationship, and so redefining healthcare.

Presentation from Society 4.0 Forum, held in Melbourne in November 2018, which scrutinised some of the key issues that relate to the Fourth Industrial Revolution - Industry 4.0.