MBS FLAG Talk: Deciphering AI: Human Expertise in the Age of Evolving AI
This one focuses on the evolving nature and value of human expertise. What should we teach and learn?
This one focuses on the evolving nature and value of human expertise. What should we teach and learn?
It was a great panel discussion on why we can look at responsible AI through the lens of ESG. My key messages are:
It was my absolute pleasure to deliver the opening talk at the AI workshop at the Australian Federal Police, where many senior executives attended. This talk differed from my usual presentations on AI engineering and responsible AI. I focused on the evolving nature of AI and how the roles of human and expert knowledge are…
I really like conferences where I can gain insights from experts in other domains. The SAP Metal, Mining, Mills Industries Summit was one such event. Hearing from some of the world’s leading experts about the intricate evolution of sustainability/ESG standards and their interaction with systems like the Carbon Border Adjustment Mechanism (CBAM) and the EU…
As an organiser of the Dagstuhl seminar, I enjoyed a week of roadmap setting for Software Architecture & Machine Learning. Here is the talk I delivered. Hand-written abstract for historical archive in the castle! With the successful implementation of Large Language Models (LLMs) in chatbots like ChatGPT, there is growing attention on foundation models, which…
Reflecting on a remarkable three-week voyage that began in Sydney and spanned across Europe and Southeast Asia, the journey was nothing short of transformative. Starting in Singapore, vital interactions with organizations like AI Singapore, A-STAR, HTX, NTU, and SMU centered on responsible AI, digital trust, and cybersecurity research collaboration. Paris, the city of lights, was…
References Zhu, L., Xu, X., Lu, Q., Governatori, G., Whittle, J., 2022. AI and Ethics—Operationalizing Responsible AI, in: Chen, F., Zhou, J. (Eds.), Humanity Driven AI. Springer International Publishing, Cham, pp. 15–33. https://doi.org/10.1007/978-3-030-72188-6_2 Lu, Q., Zhu, L., Xu, X., Whittle, J., Xing, Z., 2022. Towards a Roadmap on Software Engineering for Responsible AI, in: 1st International…
Our Responsible AI work has been celebrated as one of the most impactful projects in the East Asia and Oceania Region. Lu, Q., Zhu, L., Xu, X., Whittle, J., Zowghi, D., Jacquet, A., 2023. Operationalizing Responsible AI at Scale: CSIRO Data61’s Pattern-Oriented Responsible AI Engineering Approach. Communications of the ACM.
Recently, I had the great pleasure of participating in the Bureau of Meteorology’s strategy day, where we explored the transformative potential of Generative AI. Reflecting on CSIRO’s experience with digital science transformation and examining our industrial insights into how generative AI diverges from its predecessors was a truly fascinating exchange. I clarified common misconceptions and…
A proud moment for our responsible AI engineering work. Congratulations to Qinghua Lu on clinching the Trailblazer Award of Women in AI Asia Pacific (APAC). This reflects the impact of her and the wider team. 📝 Research Breakthrough– the field-setting “Software Engineering for Responsible AI” roadmap paper https://lnkd.in/gFmPp6JB– the seminal works on reference architecture and responsible AI for foundation-model-based…




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