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A backlash against AI imagery in ads may have begun as brands promote ‘human-made’

Yutong Liu & Kingston School of Art / Talking to AI 2.0 / Licenced by CC-BY 4.0 By Paul Harrison, Deakin University In a wave of new ads, brands like Heineken, Polaroid and Cadbury have started hating on artificial intelligence (AI), celebrating their work as “human-made”. But in these advertising campaigns on TV, billboards on […]

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Using machine learning to track greenhouse gas emissions

By Michelle Willebrands PhD candidate Julia Wąsala searches for greenhouse gas emissions using satellite data. As a computer scientist, she bridges the gap between computer science and space research. “We really can’t do this research without collaboration.” Wąsala collaborates with atmospheric scientists from SRON (Space Research Organisation Netherlands) on machine learning models that detect large

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Australia’s vast savannas are changing, and AI is showing us how

A grassy savannah style woodland in Western Sydney, NSW. By Qumarchi, CC BY-SA 4.0. By Dr Jessie Wells, Dr Robert Turnbull and Dr Attila Balogh Australia has the largest intact savannas on Earth. Savannas are an ever-changing mosaic of ecosystems – from the sparse grasslands to dense woodlands, forests and wetlands. They stretch from Cape

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AI language models show bias against regional German dialects

Large language models systematically rate speakers of German dialects less favorably than those using Standard German. (ill./©: von der Wense Group; created with the help of AI). Large language models such as GPT-5 and Llama systematically rate speakers of German dialects less favorably than those using Standard German. This is shown by a recent collaborative

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We asked teachers about their experiences with AI in the classroom — here’s what they said

Kathryn Conrad / Datafication / Licenced by CC-BY 4.0 By Nadia Delanoy, University of Calgary Since ChatGPT and other large language models burst into public consciousness, school boards are drafting policies, universities are hosting symposiums and tech companies are relentlessly promoting their latest AI-powered learning tools. In the race to modernize education, artificial intelligence (AI)

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AIhub monthly digest: November 2025 – learning robust controllers, trust in multi-agent systems, and a new fairness evaluation dataset

Welcome to our monthly digest, where you can catch up with any AIhub stories you may have missed, peruse the latest news, recap recent events, and more. This month, we learn about rewarding explainability in drug repurposing with knowledge graphs, investigate value-aligned autonomous vehicles, and consider trust in multi-agent systems. Rewarding explainability in drug repurposing

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EU proposal to delay parts of its AI Act signal a policy shift that prioritises big tech over fairness

By Jessica Heesen, University of Tübingen and Tori Smith Ekstrand, University of North Carolina at Chapel Hill The roll-out of the European Union’s Artificial Intelligence Act has hit a critical turning point. The act establishes rules for how AI systems can be used within the European Union. It officially entered into force on August 1

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