Professor Liming Zhu

How the redesigned NSW AI Assessment Framework narrows thousands of potential concerns into a defensible set of additional, AI-specific risks and evidence-backed controls.

Early signals from the 2026 AI Safety Science Report on model-level cost asymmetry, induced behaviours, scalable oversight and system-level risk propagation.

CSIRO Data61’s 2026 research directions in scalable oversight, meaningful human agency and cross-domain techniques that jointly advance AI safety and economic value.

Why AI-generated content guidance should assess potential impact and degree of AI involvement, rather than relying on unstable likelihood estimates or nominal human oversight.

A CSIRO Data61 partnership with the Audit Office of NSW explores responsible AI for public auditing and what established audit practice can teach AI governance.