A proud moment for our responsible AI engineering work. Congratulations toย Qinghua Luย on clinching the Trailblazer Award ofย Women in AI Asia Pacific (APAC). This reflects the impact of her and the wider team. ๐ Research Breakthrough– the field-setting “Software Engineering for Responsible AI” roadmap paperย 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. โThe rise of generative artificial intelligence (AI) and large…
๐งฉ 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.๐ค ๐ 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 humanityโs 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…
