Internal Artificial Intelligence Use Case Register

Written by Claude Haiku 5.5 from the extracted text on 16 Oct 2026. It can miss or misread redacted and scanned pages. Check the source before relying on it.

This FOI release is an extract from DCCEEW's internal Artificial Intelligence Use Case Register, comprising two tabular documents. The first lists three scientific AI use cases from the Office of the Supervising Scientist and Parks, covering machine learning for environmental monitoring data on the rehabilitation of the former Ranger uranium mine site in the Kakadu region, large language model document classification for research archiving, and thermal camera analysis of predator activity in Norfolk Island National Park. The second lists further use cases spanning policy, corporate and water-related services, including a First Nations water governance chatbot, AI analysis of Water Act Review submissions, and drafting of State of the Environment reports. Each entry records a risk rating (mostly low or medium) and assessment criteria. The register contains no EPBC Act referral, controlled action decision, offset or compliance material, and no quantified results or disagreement between advice and decisions.