This event promises to be an insightful exploration of the transformative potential of artificial intelligence in the public sector. Distinguished panellists will offer their expertise on the big picture of AI in government, framing the AI discussion within the context of purposeful innovation.
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 event presents leaders with an opportunity to understand and address workforce challenges and provide evidence-based workforce insights, highlight priority workforce risk areas, and articulate the role of leaders in addressing and mitigating workforce risks.
Aligned to the Government’s APS reform agenda, this presentation by Australian Government Consulting (AGC) will feature guidance on how to derive greater value for money from the work of consultancies.
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.
