• Oversight Design for AI-Enabled Decision Making

    Oversight Design for AI-Enabled Decision Making

    What counts as a ๐—ฑ๐—ฒ๐—ฐ๐—ถ๐˜€๐—ถ๐—ผ๐—ป, really? From the strict sense in ๐—ฎ๐—ฑ๐—บ๐—ถ๐—ป๐—ถ๐˜€๐˜๐—ฟ๐—ฎ๐˜๐—ถ๐˜ƒ๐—ฒ ๐—น๐—ฎ๐˜„โ€”where a decision formally alters someoneโ€™s rights or entitlementsโ€”to the everyday sense where almost everything, from selecting a movie to choosing a candidate, feels like a decision. Yet across these very different contexts, the underlying anatomy looks surprisingly similar. In CSIRO’s Data61 new…

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  • Australiaโ€™s Next Step in Responsible AI Adoption

    Australiaโ€™s Next Step in Responsible AI Adoption

    Every few weeks brings a new AI framework โ€” but rarely one that genuinely helps organisations simplify. The National AI Centre‘s new guidance on responsible AI adoption, launched this week, is a welcome exception. It distils earlier guidance and complex international work into six clear, balanced practices that bridge governance intent with operational reality. We…

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  • AI & Health, Safety, and Environment (HSE)
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    AI & Health, Safety, and Environment (HSE)

    Cognitive overload, opaque automation, and AI surveillance are reshaping the modern workplace. Iโ€™m sharing some insights from my talk at the Safety Sphere, Australiaโ€™s leading HSE practitioner network, on โ€œ๐—ช๐—ต๐—ฒ๐—ป ๐—”๐—œ ๐—•๐—ฒ๐—ฐ๐—ผ๐—บ๐—ฒ๐˜€ ๐—ฎ ๐—–๐—ผ๐˜„๐—ผ๐—ฟ๐—ธ๐—ฒ๐—ฟ: ๐—จ๐—ป๐—ฑ๐—ฒ๐—ฟ๐˜€๐˜๐—ฎ๐—ป๐—ฑ๐—ถ๐—ป๐—ด ๐—›๐—ฆ๐—˜ ๐—ฅ๐—ถ๐˜€๐—ธ๐˜€ ๐—ฎ๐—ป๐—ฑ ๐—ข๐—ฝ๐—ฝ๐—ผ๐—ฟ๐˜๐˜‚๐—ป๐—ถ๐˜๐—ถ๐—ฒ๐˜€ ๐—ผ๐—ณ ๐—š๐—ฒ๐—ป๐—ฒ๐—ฟ๐—ฎ๐—น-๐—ฃ๐˜‚๐—ฟ๐—ฝ๐—ผ๐˜€๐—ฒ ๐—”๐—œ.โ€ We examined how AI not only enhances productivity but also creates new health,…

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  • ICMI 2025 Keynote – Future of Human Oversight

    ICMI 2025 Keynote – Future of Human Oversight

    It was a great pleasure to deliver ๐—ฎ ๐—ธ๐—ฒ๐˜†๐—ป๐—ผ๐˜๐—ฒ ๐˜†๐—ฒ๐˜€๐˜๐—ฒ๐—ฟ๐—ฑ๐—ฎ๐˜† ๐—ฎ๐˜ ๐˜๐—ต๐—ฒ ๐Ÿฎ๐Ÿณ๐˜๐—ต ๐—”๐—–๐—  ๐—œ๐—ป๐˜๐—ฒ๐—ฟ๐—ป๐—ฎ๐˜๐—ถ๐—ผ๐—ป๐—ฎ๐—น ๐—–๐—ผ๐—ป๐—ณ๐—ฒ๐—ฟ๐—ฒ๐—ป๐—ฐ๐—ฒ ๐—ผ๐—ป ๐— ๐˜‚๐—น๐˜๐—ถ๐—บ๐—ผ๐—ฑ๐—ฎ๐—น ๐—œ๐—ป๐˜๐—ฒ๐—ฟ๐—ฎ๐—ฐ๐˜๐—ถ๐—ผ๐—ป, ๐˜„๐—ต๐—ฒ๐—ฟ๐—ฒ ๐—œ ๐—ฒ๐˜…๐—ฝ๐—น๐—ผ๐—ฟ๐—ฒ๐—ฑ ๐˜๐—ต๐—ฒ ๐—ฒ๐˜ƒ๐—ผ๐—น๐˜ƒ๐—ถ๐—ป๐—ด ๐—ป๐—ฎ๐˜๐˜‚๐—ฟ๐—ฒ ๐—ฎ๐—ป๐—ฑ ๐—ณ๐˜‚๐˜๐˜‚๐—ฟ๐—ฒ ๐—ผ๐—ณ ๐—ต๐˜‚๐—บ๐—ฎ๐—ป ๐—ผ๐˜ƒ๐—ฒ๐—ฟ๐˜€๐—ถ๐—ด๐—ต๐˜. Recent reports such as OpenAIโ€™s GDPVal and METR show that AI systems can now autonomously perform complex doing/solving tasks and often surpass human experts on…

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  • Representing Australia in the Global Effort for AI Safety

    Representing Australia in the Global Effort for AI Safety

    It has been a great honour to represent Australia on the Expert Advisory Panel for the International AI Safety Report, led by Joshua Bengio and backed by over 30 countries and international organisations including the EU, OECD and UN. This is the most important ongoing effort to monitor AI capability gains and safety risks of…

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  • When โ€œRisk-Basedโ€ AI Becomes an Empty Promise

    When โ€œRisk-Basedโ€ AI Becomes an Empty Promise

    ๐—ฅ๐—ถ๐˜€๐—ธ-๐—ฏ๐—ฎ๐˜€๐—ฒ๐—ฑ ๐—”๐—œ ๐—ฝ๐—ผ๐—น๐—ถ๐—ฐ๐˜†/๐—ฟ๐—ฒ๐—ด๐˜‚๐—น๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐˜€๐—ผ๐˜‚๐—ป๐—ฑ๐˜€ ๐—ผ๐—ฏ๐˜ƒ๐—ถ๐—ผ๐˜‚๐˜€. ๐—•๐˜‚๐˜ ๐—ถ๐˜ ๐—ฟ๐—ฒ๐˜€๐˜๐˜€ ๐—ฎ ๐—ณ๐—ฟ๐—ฎ๐—ด๐—ถ๐—น๐—ฒ ๐—ฎ๐˜€๐˜€๐˜‚๐—บ๐—ฝ๐˜๐—ถ๐—ผ๐—ป: ๐˜๐—ต๐—ฎ๐˜ ๐˜„๐—ฒ ๐—ฐ๐—ฎ๐—ป ๐—ฎ๐—ฐ๐˜๐˜‚๐—ฎ๐—น๐—น๐˜† ๐—บ๐—ฒ๐—ฎ๐˜€๐˜‚๐—ฟ๐—ฒ ๐—ฟ๐—ถ๐˜€๐—ธ.Yet risk assessment is often put forward as the first thing to answer, as if itโ€™s the easy part. Some frameworks push โ€œuse caseโ€“basedโ€ solutions with a pre-defined list of high-risk use cases, but then smuggle in the magic…

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  • From Shadow Adoption to Workflow Collapse: The Hidden Economics of AI

    From Shadow Adoption to Workflow Collapse: The Hidden Economics of AI

    ๐—ช๐—ต๐—ฎ๐˜ ๐—ถ๐—ณ ๐˜„๐—ฒโ€™๐˜ƒ๐—ฒ ๐—ฏ๐—ฒ๐—ฒ๐—ป ๐—ฐ๐—ฎ๐˜๐—ฒ๐—ด๐—ผ๐—ฟ๐—ถ๐˜€๐—ถ๐—ป๐—ด ๐—š๐—ฒ๐—ป๐—ฒ๐—ฟ๐—ฎ๐—น ๐—ฃ๐˜‚๐—ฟ๐—ฝ๐—ผ๐˜€๐—ฒ ๐—”๐—œ (๐—š๐—ฃ๐—”๐—œ) ๐˜๐—ต๐—ฒ ๐˜„๐—ฟ๐—ผ๐—ป๐—ด ๐˜„๐—ฎ๐˜†?โ€ข What if it isnโ€™t just another โ€œgeneral-purpose technologyโ€ like computing, but a bundle of many specific-purpose technologies out-of-the-box?โ€ข And what if calling AI a โ€œcapital investmentโ€ is also a category errorโ€”when in reality it behaves more like inexpensive labour? Yesterday at the Cost-Benefit…

    Read more: From Shadow Adoption to Workflow Collapse: The Hidden Economics of AI
  • If You Understand It, Itโ€™s Not AI: Designing Oversight for the Incomprehensible

    If You Understand It, Itโ€™s Not AI: Designing Oversight for the Incomprehensible

    New paper alert (working draft)! โ€œWhen you really understand what AI is doing, itโ€™s no longer AI โ€” itโ€™s just boring automation.โ€ That old AI community joke captures the paradox of human oversight. We trust calculators and complex business process engines with millions of ifโ€“else rules, running hundreds of steps, responding to environmental changes, and…

    Read more: If You Understand It, Itโ€™s Not AI: Designing Oversight for the Incomprehensible
  • 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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  • The AI-ESG Paradox: Why Assessing AI’s Impact Defies Simple Metrics

    The AI-ESG Paradox: Why Assessing AI’s Impact Defies Simple Metrics

    Just sat down with the latest episode of The Institutional Edge: Real allocators. Real alpha. โ€” and this one hits right at the crossroads of technology, investing, and sustainability. Angelo Calvello speaks with me about why AIโ€™s ESG impact is so hard to measure and what investors can realistically do about it. We dig into…

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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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