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.

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.

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.