Brain scanners and AI can turn brainwaves into streams of text – but language only captures a tiny fraction of our mental experience.
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Articles on Large language models
Displaying 1 - 20 of 52 articles
What mathematicians call ‘disordered collections’ can help engineers explore real-world worst-case scenarios. The simple card game Set illustrates how to predict internet and electrical grid failures.
With the right prompts, AI users can mimic copyrighted works. There’s no easy technical or legal fix.
What is the meaning of the recent release of Google Gemini and where it stands regarding the fast developments of AI technology and its foreseen impacts.
Enthusiasm for the capabilities of artificial intelligence – and claims for the approach of humanlike prowess –has followed a boom-and-bust cycle since the middle of the 20th century.
Future AI large language models like Google’s AMIE might prove to fill gaps in health-care delivery, however, they must be adopted with caution.
Existing AI systems learn patterns from very large piles of data – but they have no insight.
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.
Top contributors
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Professor of Information Science, University of Washington
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Lecturer in Business Analytics, University of Sydney
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Associate Professor of Computer Science, Florida International University
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Emeritus Professor of Psychology, Arizona State University
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Research Assistant Professor of Industrial & Systems Engineering, University of Southern California
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Professor of AI, Research Group Leader, UNSW Sydney
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Associate Vice Chancellor, University of Tennessee
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Associate Professor of Computer Science, Affiliate Professor of Information Science, University of Colorado Boulder
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Professor of Biomedical Informatics, University of Colorado Anschutz Medical Campus
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Postdoctoral Research Fellow in Ethics and Societal Implications of Artificial Intelligence, Georgia Institute of Technology
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Professor of Philosophy and Director, Applied Ethics Center, UMass Boston
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Professor of Community Information, University of Michigan
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Doctoral Student in Cognitive Science, University of California, San Diego
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Director, Enterprise AI and Data Analytics Hub, RMIT University
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Professor of Computer Science, University of California, Berkeley
