Existing AI systems learn patterns from very large piles of data – but they have no insight.
Articles on Large language models
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The use of large language models like ChatGPT is growing globally. These technologies are trained on datasets that recreate biases — as their use increases, their datasets must become more diverse.
Artificial intelligence has been around for decades, and is much more than just ChatGPT. Here’s a rundown of some lesser known AI applications.
The Australian government has finally released a response to last year’s public consultation on the safe and responsible use of AI. Here’s what it entails.
Microsoft Copilot can summarise meetings and even formulate arguments. But as good as that sounds, we shouldn’t blindly trust its accuracy.
Common misperceptions about AI chatbots are that they know something about the world, can make decisions, are a replacement for search engines and operate independent of humans.
Generative AI has changed the ways we work, study and even pray. Here are some highlights of an astonishing year of change – and what we can expect next.
Could Chomsky have foreseen where his contributions would lead us?
ChatGPT’s interface fueled the technology’s phenomenal rise to prominence. By being good at talking with us, it spoke to us.
We tested how ChatGPT stacks up against professional advice columnists – with some intriguing results.
Tech firms are relying on low-wage workers to power their AI models. That raises serious ethical questions about how the technology is being developed.
Political scientists have begun to investigate ways AI can help people understand politics better and get more voices into the public sphere.
If a business is run by an AI and it causes you harm, could you sue the AI?
Training AI systems with more focused data sets can target them to a specific use.
Language model AIs seem smart because of how they string words together, but in reality they can’t do anything without many people guiding them every step of the way.
Snapchat’s AI-powered chatbot malfunctioned this week, raising questions of “sentience” among users. As AI becomes increasingly human-like, society must become AI-literate.
Giving AI any degree of executive control could be dangerous for humans.
ChatGPT can be very useful – if you shift how you view it. The first step is to stop thinking of it as a chatty search engine.
In a preprint study, researchers estimate training the model behind ChatGPT would have required somewhere between 210,000 and 700,000 litres of water.
Mona Awad and Paul Tremblay’s lawsuit claims their books were used without their consent. But copyright protection doesn’t apply to ideas – they’ll need to demonstrate the likelihood of economic loss.
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