Visual footage — even that created by journalists and civilians to document conflict and hold nations accountable — can now become raw material for weapons development.
Articles on Artificial intelligence (AI)
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The rush to build data centres brings investment and the promise of a sophisticated digital economy. But it also creates new pressure on housing and skilled workers.
The call follows warnings from one AI researcher that the technology could ultimately destroy humanity.
Anthropic CEO Dario Amodei argues for slowing the pace of AI development globally. We must use this time to learn how to anticipate, and test for, future threats.
The data centre boom will mean more energy and water use. The real question is how the energy is produced – and where the water comes from.
Clear rules are urgently needed to prevent a legal vacuum in South African boardrooms.
Good habits by consumers can stymie scams, but US regulations have fallen behind the technology.
None of the rapid development in AI exists in a vacuum. It is built on decades of blue-skies work by academics.
AI companies are calling for a coordinated pause to progress – but making it work, and keeping AI safe, won’t be easy.
From almost 350 questions, nine experts answer the most common ones you asked.
Data centres were once treated as invisible pieces of digital infrastructure. Now, they’re the focus of intense political debate.
It’s not the first time AI researchers and companies have issued such warnings.
A powerful mix of hopes, fears and arms-race dynamics means AI companies won’t slow down unless they’re forced to.
Bacteria use strategies similar to artificial neural networks to use the past to adapt to the future.
We need to stop worrying about intelligent machines and start building intelligent societies.
OpenAI found a solution to the long-standing Navier-Stokes problem. Not everyone is happy about how they did it.
If checking each other’s messages for AI fingerprints becomes a habit, even casual communication may be marred with suspicion and doubt.
An AI system might generate the same words as a teacher, but that doesn’t mean the educational interaction for the student is the same.
Unis have always had academic misconduct processes in place. But the impact of these experiences on students’ wellbeing has been mostly anecdotal.
Businesses are increasingly turning to AI and personalised data to become more efficient. Will that leave workers earning less and customers paying more?
Top contributors
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Professor of AI, Research Group Leader, UNSW
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Professorial Fellow, University of Canberra
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Associate Professor of Visual Communication & Digital Media, RMIT University
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Adjunct Senior Lecturer, Applied Ethics and CyberSecurity, Griffith University
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Professor of Information Systems, Michigan State University
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Adjunct Lecturer in Public Policy, Harvard Kennedy School; University of Toronto
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Professor in Robotics, Queensland University of Technology
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Professor of Philosophy and Director of Applied Ethics Center, UMass Boston
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Senior Research Fellow in AI Accountability, Queensland University of Technology
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Director of Sydney Executive Plus, Business School, University of Sydney
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Professor in Business Information Systems, University of Sydney
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PhD in machine ethics, University of Canterbury
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Professor in Computational Intelligence, Australian Catholic University
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Professor of Information Technology and Organisation, University of Sydney
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Senior Lecturer, School of Engineering, Australian National University
