Catalogue: AI in the Public Sector clear
1 practice not yet assessed for evidence strength.
Most practices in: Australia (12)
Australia's DTA ran the world's largest whole-of-government Copilot trial — 5,000+ staff, almost 60 agencies — with an independent Nous Group evaluation …
Canberra required 94 federal agencies to publish AI-use transparency statements by 28 Feb 2025. The Digital Transformation Agency says all complied — …
Australia's Digital Transformation Agency piloted a draft AI impact-assessment framework with 21 volunteer federal agencies, testing whether it caught risks existing processes …
Tasmania's AI camera network — built by Indicium Dynamics with Sustainable Timber Tasmania, Tasmania Fire Service and Parks and Wildlife Service — …
Since 15 Dec 2025, Australia's DTA requires every non-corporate Commonwealth agency to screen new AI use cases via a 12-section impact assessment …
The RBA built an NLP tool mining 25 years of ~22,000 business liaison notes; added to wage-growth nowcasting models, it measurably cut …
Services Australia and Capgemini built an OCR/NLP engine that classifies more than 25,000 citizen-submitted documents a day with over 95% accuracy, cutting …
From 2022, Australia's ATO deployed ML to detect a large-scale GST refund fraud scheme: 57,000+ alleged offenders identified, A$2.7 billion in additional …
Shellharbour City Council in New South Wales fitted council vehicles with AI-powered cameras that automatically detect and GPS-map potholes, cracks, faded line-marking, …
Geoscience Australia is rolling out a natural-language AI assistant inside the Digital Atlas, which launched in 2024, holds 330+ curated national datasets …
Services Australia's 2016–2020 income-averaging algorithm wrongly raised AU$1.75 billion in welfare debts against ~470,000 recipients. A 2023 Royal Commission ruled the scheme …
DCCEEW-backed researchers trialled a 3D X-ray CT scanner and machine-learning classifier on real seized mail at Sydney's international gateway; across 18 consignments …
Open full copilot Grounded in cited practices — always check the sources.
