Women in AI Awards 2026
Reflections on being recognised as a male champion for women in AI, and on how research leaders can create opportunities, offer encouragement and help talent thrive.
Reflections on being recognised as a male champion for women in AI, and on how research leaders can create opportunities, offer encouragement and help talent thrive.
The Industry Data Classification Framework helps organisations understand data value and sensitivity, strengthen governance, and enable responsible data and AI innovation.
What happens when AI agents pursue our goals in ways we did not intend? A new piece on alignment, supervisory AI, layered controls and AI sovereignty.
Key themes from the Australian AI Safety Forum keynote: system-level capability, runtime verification, real-world evidence and continuous control for increasingly capable AI.
The UN AI panel’s preliminary report recognises CSIRO research on meaningful human oversight and verifiability-first engineering for trustworthy AI systems.
Reflections from judging the AFR AI Awards on why proprietary evaluations, feedback loops and runtime controls often matter more than model choice.
Two national playbooks for responsible AI in Australian sport, and reflections on how AI can expand human learning while preserving understanding and accountability.
Final reflections from the AI Impact Summit on verification-first workflows, post-training learning, cross-domain synthesis and Australia’s opportunities in safe, system-level AI.
AI Impact Summit reflections on strategic autonomy, frontier commitments, real-world evaluation and opportunities at the intersection of AI, cyber and critical technologies.
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.

Research Director, CSIRO
Conjoint Professor, CSE UNSW
For other roles, see LinkedIn & Professional activities.
If you’d like to invite me to give a talk, please see here & email liming.zhu@csiro.au