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…
A significant shift seems to be occurring within the AI startup scene. How do you define your unique advantages when bespoke AI models can no longer effectively compete with Large Language Models (LLMs) and Foundation models? Could a larger team of product managers and a deeper understanding of your market and customers really provide a…
It was a great pleasure to join the panel online (with experts from US NSF, UK and EU) on International Cooperation for Research at the Privacy Symposium https://lnkd.in/gafct3DX. I presented CSIRO’s Data61 Australia’s latest research and regulation development in privacy and data protection and used responsible AI as an example of how we are forming a global research…
What an incredible two-week trip to the US! Touching down in Silicon Valley, the centre of the storm, I could feel the excitement and apprehension surrounding foundation models/generative AI and the SVB/Tech layoffs. At the AAAI Symposium on AI trustworthiness assessment, I had the fun of sitting next to the US policy lead from the…
The unique characteristics of artificial intelligence (AI) systems pose new challenges to traditional software engineering approaches. Thus, new software engineering approaches are required to develop AI systems in a responsible manner. Here is an IEEE Computer Special Issue we have brought for you. https://www.computer.org/csdl/magazine/co/2023/04/10098168/1Mg6jiLwKwo
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High-resolution photos: Dropbox folder A short biography (150 words, but feel free to shorten or tweak) Dr Liming Zhu is a Research Director at CSIRO’s Data61, the AI/digital arm of Australia’s national science agency, and a conjoint professor at UNSW. He contributes to the OECD.AI’s AI Risks and Accountability, the Responsible AI at Scale think…
I was the inaugural lead of CSIRO’s National Mission on Critical Infrastructure Protection and Resilience, which brought together a broad coalition of government and private sector stakeholders to help reduce disruptions to Australia’s critical services and ensure we have the sovereign capabilities to protect the infrastructure that underpins our way of life. Find more information…
Research Director, CSIRO’s Data61
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@data61.csiro.au