The second event in a series exploring AI. In this session we explore how AI can be used for personal efficiency in the workplace. Learn how easily time and production efficiencies are gained by using AI tools in your everyday activities.
“Policies + AI” is an RBA search assistant designed as a resource to help Bank staff efficiently retrieve information from the Bank’s corporate policies, procedures and guidelines (“corporate policies”). The tool has been explicitly designed to be a search assistant only, with staff encouraged to treat the tool as one of several resources to help them navigate the Bank’s corporate policies.
This session explores how the National Library of Australia is exploring how to improve search across its public collections using AI. The goal is to help users find more relevant and useful results, especially when searching large archives where language and terminology may have changed over time.
The Department of Veterans’ Affairs (DVA) has developed a Proof-of-Concept AI tool called MyClaims to understand if AI could help tackle claims processing. The initiative demonstrates the way that early-stage AI experimentation can help improve government workflows.
This session demonstrates how AI can unlock access to historical audio content, support research workflows, and improve discoverability across large collections, even when dealing with complex or multilingual recordings.
This session explores APRA’s structured testing framework, developed in collaboration with ASIC and RBA, to assess model performance, governance, and traceability.
The Department of Veterans' Affairs (DVA) has developed a new AI-powered chatbot named Poppy, designed to assist staff in efficiently searching and navigating information available on their CLIK website.
This session will show how AI tools can help agencies stay accountable, support reporting, and provide transparency to the public. It’s a strong example of AI supporting democratic processes and whole-of-government coordination.
This session will highlight how AI can support internal audit teams by summarising findings, spotting patterns, and generating insights that inform decision-making. It’s a compelling example of how AI can enhance assurance functions and help agencies move from reactive to proactive risk management.
