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 explores APRA’s structured testing framework, developed in collaboration with ASIC and RBA, to assess model performance, governance, and traceability.
The Practical AI for Public Servants workshop delivers tangible insight on how AI tools work and how to apply them. Most of the discussion around AI in the public service has been about guardrails; about what you can’t do – which, though important for safe and responsible use, doesn’t provide much motivation or clarity about what we can do.
This session will offer insights into the strategic imperatives shaping Australia’s engagement in the region and our foreign policy settings more broadly. Panellists will examine the shifting geopolitical landscape, including the rise of regional powers, evolving security dynamics, and the implications for Australia’s national interests.
The new API based coding capability developed by the ABS makes coding textual data to ABS structured classifications easier, faster and cheaper. Using ML trained models, the Coding Service uses cloud compute for power and scale to achieve highly automated, high-quality coding.
The Liaison Analytics Tool is a secure, in-house AI tool, used by the RBA, that helps turn 25 years of business liaison meeting notes into a structured, searchable dataset. The tool is designed for use by the liaison team, helping them quickly find relevant insights, track topics, and extract firm-reported data.
This session will demonstrate how AI can assist staff in identifying key moments, extracting relevant content, and supporting internal briefings. Explore how the Department of Employment and Workplace Relations (DEWR) uses its AI tool “Parlihelper” to summarise Senate Estimates hearings.
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.
This session will explore how AI tools can support early warning systems by identifying patterns and anomalies that may signal reputational, operational, or policy risks.
