Professor Liming Zhu

Reflections from a panel on AI in Government during Innovation Month, focusing on capability, context-dependent performance, evidence-based assurance, and continuous governance.

Reflections from the Internetware 2026 keynote on AIWare, distributed intelligence, verification-first design, and the role of harnesses and environments in growing trustworthy systems.

Reflections from the National Communication Museum AI Summit on social trust, simulated human communication, system-level controls and AI’s growing role in mediating interpretation.

Key messages from the Aus Gov Data Summit on bounded uncertainty, evaluation as system design, system-level controls and meaningful human roles beyond routine oversight.

Scalable AI means reducing the marginal friction of each new use case through verification-first design, context-specific risk assessment and reusable technology and assurance foundations.