To be useful in high-stakes situations, AI needs to understand cause and effect – and the limits of its knowledge.
Articles on Large language models
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Public comment could soon swamp government officials and representatives, thanks to AI, but AI could also help spot compelling stories from constituents.
AI can quietly work in the background as a sophisticated technological tool that delivers better results and performance for people.
We humans like to think that our language is original, but we absorb large amounts of it from others and liberally repeat and remix what we hear – just as language AIs do.
Schools are blocking access to ChatGPT on their computers to try to prevent students from cheating. Two experts on academic cheating offer a very different strategy.
Artificial intelligence looks like a political campaign manager’s dream because it could tune its persuasion efforts to millions of people individually – but it could be a nightmare for democracy.
Of the risks posed by AI, overtaking human intelligence isn’t an immediate concern.
One researcher’s experience from a quarter-century ago shows why bias in AI remains a problem – and why the solution isn’t a simple technical fix.
Do you own a literary work that ChatGPT helped you write? Does OpenAI? The legal questions are thorny, and the answers unclear.
There’s a lot of overlap in AI-related concepts. Understanding how they are different from each other, and how they relate, is important.
Generative AI can seem like magic, which makes it both enticing and frightening. Scholars are helping society come to grips with the potential benefits and harms.
Language model AIs are smooth talkers, but you shouldn’t rely on them to make important decisions. That’s because they have trouble telling the difference between a gain and a loss.
Large language models can’t understand language the way humans do because they can’t perceive and make sense of the world.
Pausing AI development will give our governments and culture time to catch up with and steer the rush of new technology.
AI chatbots are on the rise in China – but their abilities and purpose may be quite different from the products of US tech giants.
The latest release in the GPT series shows marked improvement over predecessors.
Searching the web with ChatGPT is like talking to an expert – if you’re OK getting a mix of fact and fiction. But even if it were error-free, searching this way comes with hidden costs.
Our tendency to view machines as people and become attached to them points to real risks of psychological entanglement with AI technology.
Artists and photographers have strongly opposed their distinct styles being replicated by AI image generators. And the law has yet to catch up with this issue.
There won’t be an easy tech fix for the questions about authorship raised by ChatGPT and other text generators.
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