This submission argues that a more comprehensive regulatory framework for automated decision-making (ADM) in the public sector is required. It calls for a framework that goes beyond existing administrative law, is not limited to AI-based systems and includes measures for prevention, enforcement and accountability.

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...

The House of Representatives Standing Committee on Employment, Education and Training inquiring into the rapid development and uptake of automated decision-making and machine learning techniques in the workplace. This submission takes a bigger picture perspective of technological change within organisations that rises above these current concerns.

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...