This submission argues that the public sector should be an exemplar of safe and responsible artificial intelligence (AI) use and demonstrate the positive potentials of technology. The public sector should, in its use of AI, demonstrate the positive impacts that technology can have in achieving important public goals, such as promoting access, inclusion, and better...

Building on work in social services on trauma-informed practice, the research behind this report identified key principles and a practical framework that framed AI design, development and deployment as a reflective, constructive exercise that results in algorithmic supported services to be cognisant and inclusive of the diversity of human experience, particularly those who have experienced...

The NSW public has limited visibility over when and how automated decision-making (ADM) systems are being used to support or replace the work of NSW public servants in making decisions. To address this knowledge gap, the NSW Ombudsman initiated this mapping and analysis of ADM use across NSW state government departments and agencies, and local...

This report outlines the findings of a project which aimed to provide a baseline dataset for researchers on the types of automated decision-making systems being utilised in Australian social services.

This paper reports on the proceedings of a workshop entitled ADM in child and family services: mapping what is happening and what we know, held on the 24 November 2020. The workshop brought together international experts and on-the-ground sector stakeholders to provide an overview of what automated decision-making is being used in child and family...