Category: Writings

  • Writing in the Age of AI
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    Writing in the Age of AI

    After my slightly controversial talk on ๐—ฅ๐—ฒ๐—ฎ๐—ฑ๐—ถ๐—ป๐—ด ๐—ถ๐—ป ๐˜๐—ต๐—ฒ ๐—”๐—ด๐—ฒ ๐—ผ๐—ณ ๐—”๐—œ, I delivered another talk at APS Learn series on ๐—ช๐—ฟ๐—ถ๐˜๐—ถ๐—ป๐—ด ๐—ถ๐—ป ๐˜๐—ต๐—ฒ ๐—”๐—ด๐—ฒ ๐—ผ๐—ณ ๐—”๐—œ. ๐— ๐˜† ๐—ฐ๐—ผ๐—ฟ๐—ฒ ๐˜๐—ต๐—ฒ๐˜€๐—ถ๐˜€: ๐˜„๐—ฟ๐—ถ๐˜๐—ถ๐—ป๐—ด ๐—ถ๐˜€ ๐˜๐—ต๐—ถ๐—ป๐—ธ๐—ถ๐—ป๐—ด. We write first for self-understanding, then for audience understanding. AI cannot replace that understanding, but it can be a strong discussion partner.…

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  • Audit Messages on AI Governance
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    Audit Messages on AI Governance

    The newly released Auditor-General’s report on AI governance at the ATO is a good read. While I wonโ€™t comment on the specific cases, the broader lessons for government entities (pages 13-14) are valuable and ring true. Given CSIRO’s Data61‘s contributions to the National Assurance Framework for Government Use of AI (released by DTA) and Australia’s…

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  • Preparing Australia’s National Research Ecosystems for AI
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    Preparing Australia’s National Research Ecosystems for AI

    The International Science Council has released a White Paper titled ‘Preparing National Research Ecosystems for AI,’ which examines how different nations are approaching AI opportunities through their research ecosystems. I contributed to the Australian Case Study, including the pivotal role of CSIRO in AI for Science, responsible and safe AI, and general research-driven AI innovation.…

    Read more: Preparing Australia’s National Research Ecosystems for AI
  • Why I Still Write (and Read) Books?

    Why I Still Write (and Read) Books?

    When I was writing my last two books, I kept wondering: would this be the last book I ever wrote? Why would people still seek knowledge from books when AI can synthesise information across diverse sources, delivering it in a personalised and conversational manner tailored to individual knowledge levels and interests? And to be honest,…

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  • New Book: Engineering AI Systems
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    New Book: Engineering AI Systems

    ๐Ÿšจ Exciting news! Weโ€™ve just submitted the final manuscript for our upcoming book, โ€œEngineering AI Systems: Architecture and Devops Essentialsโ€ ๐ŸŽ‰ Itโ€™s been a fantastic journey working with three brilliant co-authors:โ€ข Qinghua Lu, Lead of CSIRO’s Data61โ€™s Responsible AI Science team and winner of the Asia Pacific Women in AI Trailblazer Award 2023!โ€ข Ingo Weber,…

    Read more: New Book: Engineering AI Systems
  • Runtime Guardrails for Foundation Models

    Runtime Guardrails for Foundation Models

    The word โ€œ๐’ˆ๐’–๐’‚๐’“๐’…๐’“๐’‚๐’Š๐’โ€ has become very popular recently as a major approach for AI developers, deployers, and regulators to achieve responsible and safe AI. But what does it mean exactly? ๐Ÿค” For some, it means anything that can help safeguard and achieve responsible and safe AI, ranging from governance practices to stakeholder engagement, design, testing/assessment/evaluation,…

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  • Beyond Training: Expanding AI Capabilities Without Massive Compute Costs

    Beyond Training: Expanding AI Capabilities Without Massive Compute Costs

    I often get asked which underlying foundation model one should choose for their use cases, and whether an organisation or a country should even train one given the immense compute and talent challenges. Itโ€™s a complex space to navigate. ๐ŸŒ This question becomes even more perplexing with some recent intriguing discoveries, such as:1. Picking and…

    Read more: Beyond Training: Expanding AI Capabilities Without Massive Compute Costs
  • Integrating ESG and AI

    Integrating ESG and AI

    You may have seen our ESG-AI framework for investors released a few months ago as a high-level report and associated question bank tools https://lnkd.in/gw9FFKJG Thereโ€™s a lot of additional science and detailed work behind it. For those interested in knowing more and contributing to advancing the science of measuring Responsible AI through the lens of…

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  • Bridging Gaps in AI Safety: New Framework for Comprehensive Evaluation

    Bridging Gaps in AI Safety: New Framework for Comprehensive Evaluation

    I’m excited to share our new paper on AI safety evaluation! One of the biggest challenges I’ve encountered in my work is the confusion caused when different communities use the same terms to mean very different things. For example, “AI testing” means one thing to policymakers, another to AI system/software testers, and yet another to…

    Read more: Bridging Gaps in AI Safety: New Framework for Comprehensive Evaluation
  • AI Lessons and Observations from Japan

    AI Lessons and Observations from Japan

    Lessons and observations from my meetings with Japan’s government and science agencies on critical tech, critical infrastructure, quantum, AI, and AI Safety! ๐Ÿ‡ฏ๐Ÿ‡ต๐Ÿ‡ฆ๐Ÿ‡บ A great two days. I had the privilege of engaging with the Cabinet Office, Ministry of Internal Affairs and Communications (MIC), AI Safety Institute Secretariat (AISI), Information-technology Protection Agency (IPA), Ministry of…

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About Me


About me – According to AI

Director/Head of 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

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