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…
The Innovate to Grow program’s next round has been launched. This program aims to assist small and medium-sized enterprises (SMEs) in advancing their cyber security and digital technology research and development. EoI is due 15 May. https://www.csiro.au/cyberdigitech Here are some quotes from me in the media release. “The rise of generative artificial intelligence (AI) and large…
🧩 How can investors and company boards/executives understand, evaluate, and report on AI risks and opportunities through the lens of the ESG framework? We are partnering with forward-looking equity fund manager, Alphinity Investment Management, to develop a world-first framework, linking CSIRO’s Data61‘s responsible AI risk assessment/mitigation methods with ESG factors and investor mindsets.🤝 🗞 It’s fantastic that…
(selected slides only) Responsible/Trustworthy AI in the Era of Foundation Models The emergence of large language models (LLM) such as GPT4 has garnered significant attention, placing foundation models at the forefront of AI systems. However, integrating foundation models raises concerns regarding responsible/trustworthy AI due to their opaque nature and rapidly moving capability boundaries. This talk…
We may not have the full answer, but we have the lay of the land to guide your decision-making process and encourage you to consider responsible/trustworthy AI as a key differentiator. “A Framework for Designing Foundation Model based Systems” https://arxiv.org/abs/2305.05352 “Towards Responsible AI in the Era of ChatGPT: A Reference Architecture for Designing Foundation Model-based…
Title: Software Engineering as the Linchpin of Responsible AI Abstract: From humanity’s existential risks to safety risks in critical systems to ethical risks, responsible AI, as the saviour, has become a massive research challenge with significant real-world consequences. However, achieving responsible AI remains elusive despite the plethora of high-level ethical principles, risk frameworks and progress…
With generative artificial intelligence (AI) and the pace of change dominating headlines across the globe, there is a growing focus on the importance of safe and ethical AI. Governments, businesses, and citizens all want to know how to ensure responsible AI is developed and deployed in a way that benefits business and community. Join the…
Research Director, CSIRO
Conjoint Professor, CSE UNSW
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