Using AI for cybersecurity without first investing in fundamentals is like deploying a robot guard dog to defend an unlocked door.
Articles on Anthropic
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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.
An “export control directive” for Anthropic’s Fable and Mythos models highlights the chaotic, fast-changing state of AI regulation.
In the old days, companies went public early to access cash to grow. These days, soon-to-be-public companies are already flush with cash from private finance.
While all eyes are on whether Elon Musk is about to become the world’s first trillionaire, there may be a hidden upside to AI giants finally facing market scrutiny.
The AI era has fundamentally changed the risks associated with poor cybersecurity practices.
Authoritarian governments, including the Trump administration, are reorienting AI safety provisions away from protecting the public toward coercing support for the regime.
I knew this text would not be welcomed by all. And that’s OK.
When AI is used to manufacture fake endorsements, copyright law doesn’t do enough to protect celebrities, influencers and other public figures.
The industry is rife with AI non-events that were wildly promoted and highly anticipated, but failed to deliver.
In his first encyclical, Pope Leo XIV has called for much closer regulation of AI technology, particularly in military settings.
Anthropic developed an AI interviewer it claims can help social scientists conduct research at scale. But AI models lack the human qualities that make qualitative research unique.
AI-powered cyber-security: the rise of new frontier platforms like Mythos highlights nuclear arsenals’ potential weak spots, and complicates the gambles inherent in nuclear deterrence.
There are good reasons why we see AI chatbots as more than what they truly are.
A slew of companies have announced plans to add AI agents to their workforces. Employees can take steps to handle the changes.
Mythos’ dramatic hacking abilities are as much a reflection of the precarious state of digital defenses as a revolutionary tech breakthrough.
As AI usage in conflicts increases, a strategy will be needed to protect humans from ‘autonomous robots’.
In the old days, companies like Apple and Amazon went public early to access cash to grow. These days, soon-to-be-public companies are already flush with cash from private finance.
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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Senior Lecturer, School of Engineering, Australian National University
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Guest Research Fellow, School of Computing and Information Systems, The University of Melbourne
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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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Lecturer, Desautels Faculty of Management, McGill University
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Head of School (Computer Science) and Co-Director (Centre for Data Science), Queensland University of Technology
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Professor of Accountancy, University of Notre Dame
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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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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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Associate Professor of Machine Learning and Director of the Sydney AI Centre, University of Sydney