Australian Government's AI Reference Architecture Puts Information Governance in Focus

Released on 30 October 2026, the architecture outlines key components of AI systems, including information flows, data management, trustworthiness, assurance and human oversight. It aims to help government agencies adopt AI technologies while maintaining appropriate governance, transparency and accountability.

A key focus of the framework is the effective management of data and metadata throughout the AI lifecycle. This includes how information is collected, prepared, stored, shared and tracked, alongside the importance of maintaining accurate records and audit trails to support accountability and informed decision-making.

For records and information management (R&IM) professionals, the architecture reinforces the importance of embedding information governance into AI initiatives from the outset. Effective recordkeeping, metadata management, information quality, classification and lifecycle controls are essential to ensuring AI systems operate using reliable, appropriately managed information.

As AI adoption continues to expand across government, R&IM professionals have an opportunity to contribute to system design, establish information governance requirements and work alongside ICT, data and AI teams to strengthen organisational accountability.

The message is clear: effective AI governance starts with effective information governance. By incorporating sound R&IM practices into AI projects from the beginning, agencies can build more transparent, trustworthy and accountable systems.

Find out more: Digital Transformation Agency