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Organisation

ARC Centre of Excellence for Automated Decision-Making and Society

Acronym:
ADMS
Submission

ADM+S submission to the Feasibility study on options to limit unhealthy food marketing to children


This submission is based on findings from the ADM+S Australian Advertising Observatory related to unhealthy food ads on Australian social media platforms, and the work of the research team on observability of online advertising.
Report

Mapping the digital gap: Galiwin'ku, NT 2023 community update report


This report outlines updated findings from a second research visit to Galiwin’ku community on the southern end of Elcho Island and the largest Yolŋu community in the East Arnhem region of the Northern Territory. This report presents research findings to date, compares survey results from 2022 and 2023, outlines changes in communications and media services...
Working paper

Generative AI technologies applied to ecosystems and the environment: a scoping review


This paper provides a scoping review of the literature on the ways that novel generative artificial intelligence (AI) tools are being applied to living things and other elements of ecosystems and the natural environment. The paper outlines several areas where generative AI is being deployed in new research projects and industry applications.
Submission

ADM+S submission to the Senate Select Committee on Adopting Artificial Intelligence

Henry Fraser, Jake Goldenfein, Melissa Gregg, Fiona Haines, Amanda Lawrence, Ariadna Matamoros Fernandez, Anthony McCosker, Christine Parker, Flora Salim, Aaron Snoswell, Julian Thomas, Jacky Zeng

This submission is the product of a collaborative process involving direct contributions from ADM+S researchers, as led and consolidated by Professor Kimberlee Weatherall (University of Sydney Law School).
Report

Building a trauma-informed algorithmic assessment toolkit


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...

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