Australia's leading researchers, industry executives, and policy experts gather to confront two of the most pressing barriers to real-world Al deployment: data that cannot be shared, and infrastructure that cannot always be justified.

Co-organised between ATSE and the Queensland University of Technology, this workshop charts a clear path toward Al systems that are sovereign, scalable, and trustworthy – without surrendering control of sensitive information.

Session 1 — Sovereign AI: Training without sharing data

Discover how Al can learn across distributed organisations with zero data movement - preserving privacy, regulatory compliance, and national sovereignty through cutting-edge decentralised frameworks.

Session 2 — Efficient AI at scale: Doing more with less

Explore how modular, adaptive approaches are dramatically reducing the cost and time of building Al - enabling broader participation across industry and government without centralised infrastructure.