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.
Articles on Large language models
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Today’s AI systems are powerful, and it’s natural to see them as having humanlike intelligence. Shaking that illusion is important – and difficult to do.
There are good reasons why we see AI chatbots as more than what they truly are.
The future of artificial intelligence might not be as much a story about engineering as a story about evolution.
People who interacted with different AI chatbots in a study didn’t realize the bots were including veiled advertising in their replies
A new book for scholars, students, and curious readers invites readers to think critically about the promises and perils of language tech and examines AI’s impact on poetic practice.
The persona an AI chatbot presents can not only influence your behavior, but even your physiological responses.
A chatbot might know what’s wrong with you, but when people try to use them to understand symptoms, they may end up no closer to the answer.
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.
A linguist explains what makes human English human, and why you shouldn’t overdo it with large language models.
How can business schools best navigate the AI era? Does GenAI in higher education constitute a level playing field where educational inequality and diverse learning needs are concerned?
Humans and AIs have different methods of calculating words about probability like ‘maybe’ and ‘likely’ – and different interpretations about what they mean.
People are using generative AI to flood courts with filings, legislatures with constituent letters and publications with submissions. AI detectors are no silver bullet.
What if an AI system could recognize when it’s confused or when to think more carefully? Researchers are working to give large language models these metacognitive abilities.
A publishing giant believes AI can help break writers’ block. We asked 5 creative writing experts if they’d use it that way – and the range of results surprised us.
The perils of an AI-driven technocracy.
Even when information is factually accurate, how it’s presented can introduce subtle biases. As large language models increasingly bring people the news, this bias is a looming problem.
A new study shows AI writing is turning traditional measures of research quality upside down.
There are several methods for detecting whether a piece of text was written by AI. They all have limitations – and probably always will.
Despite the hype surrounding AI, the technology is far more fragile than it might appear.
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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Professor and Associate Director of the Centre for Change and Complexity in Learning (C3L), Education Futures, Adelaide University
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Associate Professor of Linguistics and Director of Language Lab, The University of Western Australia
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Professor of AI, Research Group Leader, UNSW
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Professor of Statistics and Professor of EECS, University of Michigan
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Research Assistant Professor of Industrial & Systems Engineering, University of Southern California
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Lecturer in Business Analytics, University of Sydney
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Senior Research Fellow in AI Accountability, Queensland University of Technology
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Associate Professor of Computer Science, Affiliate Professor of Information Science, University of Colorado Boulder
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Professor of Philosophy and Director of Applied Ethics Center, UMass Boston
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Doctoral Student in Cognitive Science, University of California, San Diego
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Emeritus Professor of Psychology, Arizona State University
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Associate Professor of Computer Science, Florida International University
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Assistant Professor, Oregon State University