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The Data Science and AI Practice Committee (DSAIPC), the Young Data and AI Working Group (YDAWG) are pleased to bring the latest in data science and AI and to share some of our recent work with you.
Read on for Australia's critical AI readiness challenges, how AI is reshaping global economies into "always-on" systems, and the growing tensions around AI regulation and transparency.
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Building Tomorrow: Preparing Australia for the Age of AI
Data science actuary and Institute Council Member Jon Shen argues that Australia is drifting into the AI age, needing to invest in infrastructure, and grow AI talent and whole-of-society AI literacy.
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Treasury CIO Wins AI and Data Science Scholarship
Andrea Cross from Commonwealth Treasury has won our Women Leaders in AI and Data Science Scholarship in partnership with Chief Executive Women. Andrea will attend Stanford's Executive Leadership Program.
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AI + Data Meet Up: LLMs from Scratch - Beyond the Acronyms, Back to the Fundamentals
Cut through the GenAI hype and discover the fundamentals that actually power large language models.
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LASSO Regularised GLMs: Enhancements for Life Insurance Experience Analysis
Explore how LASSO regularisation within GLMs bridges traditional life insurance analysis with modern statistical techniques. All experience levels welcome.
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AI Con 2025
Australia's premier AI minds are gathering, and you're invited! Grab your early bird ticket for $540 (save $110) before it's too late - only two weeks left!
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The Always-On Economy: AI’s Real Impact in the Next 5-7 Years
Sequoia Capital forecasts that within the next 5-7 years, AI will remove the time constraints from our economy, enabling continuous operation across industries, including financial markets, healthcare and physical security.
This “always-on economy” will improve economic efficiency, reduce peak demand periods and disrupt traditional work patterns, requiring new approaches to human oversight.
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TikTok Hit With $530M Euro Fine After Illegally Sending Users’ Data to China
Ireland's Data Protection Commission fined TikTok €530 million for failing to inform users about storing European data in China, violating General Data Protection Regulation standards.
TikTok plans to appeal, but the case highlights growing scrutiny around international data flows and privacy compliance.
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Historians Use Data Science to Mine the Past
Historians are adopting data science tools, including natural language processing, network analysis and computer vision, to digest digitised historical records, uncovering hidden patterns and trends previously impossible to detect.
However, this breadth must be balanced with depth to ensure that records are understood within their historical context.
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Layers of the AI Stack, Explained Simply
Ed Izaguirre provides a concise overview of the AI technology stack — from raw infrastructure to polished end-user applications — and makes a compelling case for operating at the application layer.
While lower infrastructure and foundational model layers are becoming commoditised, the application layer remains rich with opportunities for innovation and domain-specific value.
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The Price of Loyalty: Rethinking Optimisation in Insurance Pricing
As Australian insurance premiums rise 14% annually, Dr Fei Huang examines "price optimisation" – where insurers set premiums based on likelihood of switching providers, not just risk factors.
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A Weird Phrase is Plaguing Scientific Papers - and We Traced it Back to a Glitch in AI Training Data
The nonsensical phrase “vegetative electron microscopy” has appeared in 22 published scientific papers, traced back to a 1950s digitisation error.
Recent AI models like GPT-3 and Claude 3.5 reproduce this phrase, highlighting how AI systems can perpetuate and amplify historical errors.
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Thy Has Been on the Radio for Six Months. Turns Out She isn’t Real
Sydney radio station, CADA, has been broadcasting “Workdays with Thy” since November 2024, using ElevenLabs AI to create the host without disclosure.
With no current restrictions on AI use in broadcast content, the project has sparked discussions about transparency and the role of AI-generated media.
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Data Science Controversies Explored at Zelen Symposium
At the 2025 Marvin Zelen Memorial Symposium, thought leaders unpacked the complexity of data-driven decision-making in public health, medicine and climate science.
On the chopping block were a natural experiment demonstrating contact tracing’s impact during COVID-19 and a candid critique of AI’s premature adoption in healthcare, where flawed data has led to misleading models.
The importance of rigorous methodology, contextual understanding, and humility in model interpretation is central to the success of data science at scale. The key takeaway? Sophisticated tools are only as valuable as the rigour, relevance, and responsibility underpinning their use.
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We hope you enjoyed this month’s newsletter!
As always, if you come across any interesting reading over the month, please drop us a line here!
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