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Autonomous technologies

Alternative labels
Autonomous computer systems
Automated decision-making
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Artificial Intelligence (AI)
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Autonomous technologies
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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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Recent developments in artificial intelligence: industry snapshot


Australian Competition and Consumer Commission
This artificial intelligence (AI) snapshot shows recent trends and developments in generative AI. It found that the expansion of AI-enabled products and services offers opportunities for consumers and businesses, yet it also carries the risk of introducing new challenges and amplifying existing consumer problems.
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Key questions for AI in public institutions


ARC Centre of Excellence for Automated Decision-Making and Society
This report explores how corporate Artificial Intelligence (AI) impacts institutions serving the public good, focusing on universities and social services. It invites reflection and critical questioning through thought‑provoking prompts. Designed to spark dialogue, advocacy and policy engagement, it offers resources that encourage deeper exploration of AI’s role through a Data Justice lens.
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Aligning for advantage: integrating autonomous systems into the Australian Defence Force


Australian Strategic Policy Institute
This report notes the Australian Defence Force (ADF) can strengthen defence, deter adversaries and expand capability by adopting robotic and autonomous systems with artificial intelligence (RAS‑AI). RAS‑AI is identified as offering a faster and more cost‑effective means of building resilience, operational effectiveness and strategic advantage in increasingly contested environments.
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Humanising the algorithm: the safety implications of algorithmic decision-making on delivery riders


Swinburne University of Technology
This report presents research on the safety, governance and public impacts of algorithmic management in app-based food-delivery work with an interest in road safety in Victoria, Australia. The findings offer actionable evidence to support fairer, safer and more accountable gig-delivery ecosystems. The report proposes further research to develop a world-first, safety-focused algorithmic audit framework.
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