Lunch and Learn - Session 3: Find the right policy content with AI
Jointly presented by GovAI and the APS Academy
“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 technology underpinning the tool is called Retrieval-Augmented Generation (RAG). RAG optimises the output of a Large Language Model (LLM) by referencing an authoritative knowledge base before generating a response. In our application, users submit a query about the Bank’s corporate policies and receive three pieces of information in return: (1) links to the underlying policy and procedure(s); (2) the top three relevant paragraphs from the documents; and (3) an LLM-generated textual response. 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.
Presenter
Max Zang
Max Zang is a data scientist in the Data Science Hub at the Reserve Bank of Australia, where he applies advanced machine learning and AI techniques to support research, analytics, and operational workflows. With a Master of Data Science from the University of Sydney, Max specialises in Natural Language Processing (NLP), focusing on extracting meaningful insights from unstructured text data. His work bridges the gap between cutting-edge AI models and practical applications in the public sector, enabling more efficient information discovery, policy analysis, and automation. Max is passionate about the responsible and impactful use of AI to enhance data accessibility and analytical workflows across the Bank.
Facilitator
Daniel Parris
Daniel Parris is an Engagement Manager with GovAI, a whole-of-government program in the Department of Finance working to enable responsible and effective AI adoption across the Australian Public Service (APS). In his role, Daniel works with agencies to accelerate AI adoption through information sharing, capability building, and supporting cross-agency connections. He also oversees the APS AI Use Case Library, which is a central GovAI resource showcasing real-world AI applications in Government, promoting reuse, and fostering innovation across the public sector.
Before joining GovAI, Daniel worked across governance, sustainability, and policy settings. This included work on APS climate reporting, ESG research and methodology design for global investors, and academic research on sustainable finance and climate risk. Daniel has also facilitated group programs in diverse settings, from interactive public service workshops to immersive cultural experiences in remote Indigenous communities.
Participant benefits
An overview of this simple RAG-based tool.
Our approach to accuracy testing and the results.
Deployment on the RBA secure cloud-based infrastructure.
Suitable for
All Staff
Category and User level
This learning experience aligns with the Digital Profession.
Price
Free of charge.