Companies like Meta and IBM are exploring explore how AI can hyper-personalize ads, drawing from our chat histories, playing to our unique fears and vanities.
Articles on Claude
Displaying 21 - 39 of 39 articles
There are good reasons why we see AI chatbots as more than what they truly are.
The first piece of ransomware was sent it out on 20,0000 floppy discs in 1989, to raise awareness of health- rather than cyber-hygiene.
In ‘1984,’ George Orwell envisaged a world in which books were a mass-produced commodity no different from ‘jam and bootlaces.’
Research shows that a hidden American worldview can shape AI advice in ways that are culturally misleading.
Because of the way generative AI works, there is no real way to prevent false information being presented as truth – or to correct it permanently.
AI might have ‘PhD-level’ intelligence. But substituting it for a PhD student sacrifices a special part of the academic ecosystem.
Anthropic’s Claude is helping the US military choose targets to strike in Iran, but responsibility for the accuracy, strategy and ethics of the decisions rests with humans.
At the heart of this dispute is how Anthropic’s large language model Claude is being used in a military context.
Even if you’ve never used these software tools, your employer probably has. Now, AI threatens to upend the systems businesses have relied on for years.
When we ask for news, we should expect generative AI tools to stick to the facts. But new research shows they don’t.
Anthropic says its Claude Code tool was used in a sophisticated, automated campaign to steal sensitive information.
Two new books reveal the gap between the promises of AI companies and the reality. One exposes the industry’s questionable ethics. The other argues we’re racing to extinction.
Workplace productivity and educational challenges get the headlines, but it turns out that ChatGPT and its ilk are more likely to be used for household tasks.
There’s too much debate about the small details, not enough focus on AI being here to stay.
When asked to suggest solutions for environmental challenges, chatbots reflected biases. This could have harmful effects on how we understand and communicate climate change.
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.
There’s no escaping generative AI as it infiltrates our workplaces and daily lives. Learning what these tools can do will help you understand their full impact.
Increasingly powerful AI is everywhere. But the hype is tempered by public and expert concerns – they want stronger regulation before it’s too late.
Top contributors
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Professor of Cybersecurity, School of Computing and Information Systems, The University of Melbourne
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Associate Professor of Psychology, The University of Queensland
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Guest Research Fellow, School of Computing and Information Systems, The University of Melbourne
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Professor of Philosophy, Monash University
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Research Project Manager, The University of Queensland
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Associate Professor of Visual Communication & Digital Media, RMIT University
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Research officer, The University of Queensland
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Associate Professor of Business Information Systems, The University of Queensland; Massachusetts Institute of Technology (MIT)
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Professor of Accounting & Business Information Systems, The University of Melbourne
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Professorial Fellow (Artificial Intelligence), Melbourne Business School, The University of Melbourne
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Assistant Professor of Sustainable Business Management of Natural Resources, University of British Columbia
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Professor of Political Theory, Queen Mary University of London
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Lecturer in Ethics, University of New South Wales; Fellow of the Centre for Military Studies, University of Copenhagen
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Innovation Director, Surrey Institute of People-Centred AI, University of Surrey
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Associate Professor of Law, Indiana University