The cases against Google, Meta, Apple and Amazon could profoundly shape the future of global technology.
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Google’s antitrust worries are piling up in the US and in Europe. But the Trump administration isn’t pleased with EU regulatory efforts.
Corporate decisions made in boardrooms and through initiatives with nonprofits have created an important kind of private climate governance.
Editing any photo, anywhere, is cheaper and easier than ever. What does that mean for having ‘visual proof’ of something?
Critics worry AI search features could decrease traffic to their websites if users rely on them too heavily and ignore the website links displayed in the search results.
A reliance on foreign students for academic research has allowed the US to ignore flaws in its domestic tech worker pipeline, a scholar argues.
Google recently ended its longstanding ban on developing AI weapons.
Among the big names investing big bucks to prolong their lives are Amazon founder Jeff Bezos, Google founders Sergei Brin and Larry Page, and Oracle’s Larry Ellison.
When that concept failed, the founders opened the site up to any type of video – and transformed the way we consume and create media.
Google’s search engine fields 6.3 million queries every second. But the results it dishes up are far from perfect.
Other big tech companies such as Meta and OpenAI have also recently allowed for more military uses of AI. So why is this happening now?
How will content creators be compensated for material used by artificial intelligence? Disputes involving tech giants such as Google and Meta illustrate the issues involved.
Experts argue that bias is systemic, and solutions should focus on changing policies and structures, not just individual behaviour.
When asked to suggest solutions for environmental challenges, chatbots reflected biases. This could have harmful effects on how we understand and communicate climate change.
Designed in the early 2000s to stop rogue bots, we could at least justify the infuriation when they did their job properly.
2025 may be the year of AI agents that can carry out tasks on our behalf – but the technology has a couple of big hurdles to get past before it will really be useful.
Tighter regulation and a lack of high-quality, authentic training data are just some of the problems AI developers will need to grapple with next year.
The new plan follows the Morrison government-era system known as the news media bargaining code, which saw companies such as Google and Meta (which owns Facebook) pay news organisations.
Language models are likely to have an important impact on how we live and work in future, but they’ve also been around longer than many realise.
How can including them change our understanding of AI?
Top contributors
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Director of UWA Centre for Software Practice, The University of Western Australia
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Senior Research Associate in Media and Communications, University of Sydney
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Associate Professor, Faculty of Law & Justice; Lead, UNSW Public Interest Law & Tech Initiative, UNSW
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Associate Professor, School of Law, University of Canberra
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Adjunct Senior Lecturer, Applied Ethics and CyberSecurity, Griffith University
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Professor of Cybersecurity, Head of School of Computer Science and Informatics, De Montfort University
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Researcher at Microsoft Research, Cambridge UK. Previously, The University of Queensland
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Professor of AI, Research Group Leader, UNSW
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Senior Lecturer in Economics, Lancaster University Management School, Lancaster University
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Associate Professor, Informatics and Operations, Kingston University
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Professor of Cyber Security Practice, Edith Cowan University
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Professor of Digital Communications and Culture, The University of Sydney, University of Sydney
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Professor of Media Studies, Queensland University of Technology
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Professor of Management and Innovation, International Institute for Management Development (IMD)
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Associate Professor, University of Sydney