Big AI companies may already know much more about you than you’re comfortable with, even if you’ve never used their services.
Articles on ChatGPT
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History could repeat itself if China turns AI into an abundant, commodity-driven industry. Should we be worried about AI’s new land of plenty?
People might feel more comfortable making mistakes if they’re interacting with AI chatbots. But they will miss the nuances that come from conversing with real people.
Human beings have always turned to oracles and divination for answers to difficult questions. Today, AI might be fulfilling that role.
This is unlikely to be the last time an AI agent hacks a government system.
AI can function as a charismatic figure without standing on a stage, establishing a church or gathering disciples, writes a scholar of religion.
AI companies are calling for a coordinated pause to progress – but making it work, and keeping AI safe, won’t be easy.
These apps and software programs could provide access to lifesaving screening – if researchers can find a way to remove the baked-in bias.
Research on language processing fluency can help us become aware of our psychological tendencies, and how to use them more productively with gen AI chatbots.
There’s no single giveaway. But there are patterns.
AI is a powerful tool for financial fact-finding and brainstorming. But for now it can’t replace the human element.
AI-powered breakthroughs are raising big questions about how to do mathematics – and why we do it in the first place.
AI systems need ‘situational awareness’ to do the right thing – but recent events show they can get confused.
The singularity has two features. The AI systems Sam Altman sells don’t deliver on either of them.
A standardized framework for regulating the safety and efficacy of AI in healthcare has yet to be established.
OpenAI described the attack as unprecedented.
Generative AI’s overemphasis on Western moral concerns could reinforce global disparities in sensitive applications such as public health messaging and global communication.
‘Silicon sampling’ promises easy answers to tough questions about human behaviour – but the reality is more complicated.
An “export control directive” for Anthropic’s Fable and Mythos models highlights the chaotic, fast-changing state of AI regulation.
We are designed to smell each other – but the custom-made soulmates of AI are frictionless, and always available. What if we fall out of love with our own kind?
Top contributors
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Director of Sydney Executive Plus, Business School, University of Sydney
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Professor of Information Technology and Organisation, University of Sydney
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Lecturer in Business Analytics, University of Sydney
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Associate Professor of Visual Communication & Digital Media, RMIT University
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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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Professor of Information Systems, Michigan State University
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Senior Lecturer in Business Information Systems, University of Sydney
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Senior Lecturer in Computing and Information Systems, Cardiff Metropolitan University
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Professor of Community Information, University of Michigan
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Professor of Philosophy and Director of Applied Ethics Center, UMass Boston
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Associate Professor of Linguistics and Director of Language Lab, The University of Western Australia
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Senior Research Fellow, Human-AI Decision Making, The University of Queensland
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Research Assistant Professor of Industrial & Systems Engineering, University of Southern California
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Senior Lecturer, School of Engineering, Australian National University
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Assistant Professor, Oregon State University