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Artificial Intelligence (AI)

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Generative AI (GenAI)
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Information technology
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Artificial Intelligence (AI)
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Report

The OECD.AI index


OECD Publishing
The index provides governments with a robust framework to measure national artificial intelligence (AI) capabilities and track progress in implementing the OECD AI Recommendation. The index is intended as a policy-oriented tool to support evidence-based AI governance, facilitate international comparison and guide future monitoring of progress toward trustworthy AI.
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Report

AI to support neurodivergent learners in vocational education and training


OECD Publishing
Artificial Intelligence (AI) and other advanced technologies could support neurodivergent learners in vocational education and training settings, including in work-based learning and apprenticeships, and the transition to work. This report explores the use of these technologies by learners with Autism Spectrum Disorder, Attention-Deficit/Hyperactivity Disorder, dyslexia, dyscalculia and dysgraphia, and by teachers and trainers catering for...
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Essay

Visualising generative AI with collage


University of New South Wales,
ARC Centre of Excellence for Automated Decision-Making and Society
This project uses collage to expose and critique the language surrounding generative Artificial Intelligence (GenAI). It supports critical AI literacy by highlighting the social, political, cultural and environmental stakes of the GenAI industry and its vested interests. It also aligns with emerging arts‑based approaches that challenge, question and resist contemporary AI technologies.
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Evaluation

AI transparency in practice


ARC Centre of Excellence for Automated Decision-Making and Society
This report examines Commonwealth agencies’ compliance with the government’s policy on responsible artificial intelligence (AI) use. It finds AI transparency statements are often difficult to locate, with few available through the recommended direct link. Thirty entities had no identifiable statement and published statements varied in quality. The report provides recommendations to improve their findability and...
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Report

International AI safety report 2026

Malcolm Murray, Maksym Andriushchenko, Ben Bucknall, Rishi Bommasani, Stephen Casper, Tom Davidson, Raymond Douglas, David Duvenaud, Philip Fox, Usman Gohar, Rose Hadshar, Anson Ho, Tiancheng Hu, Cameron Jones, Sayash Kapoor, Atoosa Kasirzadeh, Sam Manning, Nestor Maslej, Vasilios Mavroudis, Conor McGlynn, Richard Moulange, Jessica Newman, Kwan Yee Ng, Patricia Paskov, Shalaleh Rismani, Girish Sastry, Elizabeth Seger, Scott Singer, Charlotte Stix, Lucia Velasco, Nicole Wheeler, Daron Acemoglu, Vincent Conitzer, Thomas G. Dietterich, Edward W. Felten, Fredrik Heintz, Geoffrey Hinton, Nick Jennings, Susan Leavy, Teresa Ludermir, Vidushi Marda, Helen Margetts, John McDermid, Jane Munga, Arvind Narayanan, Alondra Nelson, Clara Neppel, Sarvapali D. Ramchurn, Stuart Russell, Marietje Schaake, Bernhard Schölkopf, Alvaro Soto, Lee Tiedrich, Gaël Varoquaux, Andrew Yao, Ya‑Qin Zhang, Leandro Angelo Aguirre, Olubunmi Ajala, Fahad Albalawi, Noora AlMalek, Christian Busch, Jonathan Collas, André Carlos Ponce de Leon Ferreira de Carvalho, Amandeep Gill, Ahmet Halit Hatip, Juha Heikkilä, Chris Johnson, Gill Jolly, Ziv Katzir, Mary N. Kerema, Hiroaki Kitano, Antonio Krüger, Kyoung Mu Lee, José Ramón López Portillo, Aoife McLysaght, Olexii Molchanovskyi, Andrea Monti, Mona Nemer, Nuria Oliver, Raquel Pezoa, Audrey Plonk, Balaraman Ravindran, Hammam Riza, Crystal Rugege, Haroon Sheikh, Denise Wong, Yi Zeng, Liming Zhu, Daniel Privitera, S. Mindermann

Government of the United Kingdom
The report provides a comprehensive review of the latest scientific research on the capabilities and risks of general-purpose artificial intelligence (AI) systems. It assesses what general-purpose AI systems can do, what risks they pose and how those risks can be managed. The report is provided with an extended summary for policymakers.
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