The most probable scenario is likely not what you think.
Articles on Anthropic
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AI is a global technology. A global approach to regulating it is urgently needed.
Are the warnings of a potential AI apocalypse credible?
Competition for AI dominance resembles the nuclear arms race of the Cold War era. A similarly serious response may also now be needed.
Visual footage — even that created by journalists and civilians to document conflict and hold nations accountable — can now become raw material for weapons development.
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.
AI companies are calling for a coordinated pause to progress – but making it work, and keeping AI safe, won’t be easy.
It’s not the first time AI researchers and companies have issued such warnings.
There’s no single giveaway. But there are patterns.
Labels alone won’t be enough to tackle the rise of deepfakes.
What happens to democracy when the independent people capable of resisting abuses of power are replaced by systems designed to make those abuses easier?
AI is a powerful tool for financial fact-finding and brainstorming. But for now it can’t replace the human element.
AI systems need ‘situational awareness’ to do the right thing – but recent events show they can get confused.
A Commerce Department order requiring Anthropic to wall off its most advanced AI models from foreign nationals could be the government’s attempt to keep the best AI technology for itself.
Anthropic says there is something lurking inside Claude that looks a lot like the ‘global workspace’ one influential theory of consciousness depends on.
The decision tracks with a long history of editors and journalists being early adopters of tech innovations.
Using AI for cybersecurity without first investing in fundamentals is like deploying a robot guard dog to defend an unlocked door.
Canada is now investing billions to strengthen domestic AI capacity. But sovereignty is not simply about where the servers sit.
The risks of depending on US-based AI models are becoming clear.
Ordinary people, not just technical experts, need to set the moral standards for regulation of AI.
Top contributors
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Professor of Information Systems, McGill University
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Professor of Cybersecurity, School of Computing and Information Systems, The University of Melbourne
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Professor of Accountancy, University of Notre Dame
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Guest Research Fellow, School of Computing and Information Systems, The University of Melbourne
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Lecturer, Desautels Faculty of Management, McGill University
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Senior Lecturer in Data Analytics in the Social Sciences, Deputy Director of the Centre for AI, Trust and Governance, University of Sydney
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Senior Lecturer, School of Engineering, Australian National University
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Professor of Accounting & Business Information Systems, The University of Melbourne
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Professor and Associate Director of the Centre for Change and Complexity in Learning (C3L), Education Futures, Adelaide University
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Affiliated Faculty Member, Carnegie Mellon Institute for Strategy and Technology, Carnegie Mellon University
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Associate Professor of Machine Learning and Director of the Sydney AI Centre, University of Sydney
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Professor, School of Private & Commercial Law, UNSW
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Research Fellow, Deakin Institute for Citizenship and Globalisation, Deakin University
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Professor of Political Theory, Queen Mary University of London
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Director, Data61, CSIRO