Qinghua Lu and I introduce AI engineering in the inaugural AI and Software Engineering column in IEEE Software: where intelligence should sit, what makes systems trustworthy, and why understanding cannot be outsourced.
At IMPACT 2026, I joined NSW Auditor-General Bola Oyetunji to share how our partnership is delivering responsible AI for public audit, and what AI researchers and auditors can learn from each other.
Getting the right answer is not enough. Our new report with the Australian AI Safety Institute explores hidden influence in AI oversight and how to make it harder to sustain.
Honoured to be elected a Fellow of the Australian Academy of Technological Sciences and Engineering, with the citation “trustworthy AI innovator”. A shared achievement and a starting point for greater service to the community.
Reflections on the UN AI Panel’s new brief: evaluation pressure, external agent state, shutdownability and defence in depth.
Three reflections from ASPI’s AI Masterclass on operational AI capability, speed as a security property, and solve-verify asymmetry.
Reflections on opportunities for French-Australian collaboration in foundational AI, system-level engineering, industrial modelling and sovereign capability.
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.
Reflections from REMIX Summit Sydney on why understanding, rather than judgement or taste, remains an enduring human frontier as AI capability advances.
Dr Liming Zhu FTSE
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