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Articles on ChatGPT
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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.
The effects of AI’s growth on global security could be difficult to predict.
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.
Undergraduate writing courses are about learning to think, synthesize and judge the credibility of sources — and interact with an audience.
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.
Technological approaches could help reduce the carbon impact of artificial intelligence systems.
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.
Technically, ChatGPT can do (some of) the work of a human editor. But an experiment comparing three separate human edits of a literary short story to edits by ChatGPT exposes AI’s serious limitations.
Like many technologies, AI can be subverted by cybercriminals.
Tools such as ChatGPT dominate the conversation around AI in schools. But with teachers looking to meet Indigenous content requirements, using generative AI could do more harm than good.
Whether artificial intelligence leads to more or less energy use will depend on how we adapt to using it.
Spreadsheet-related errors can have serious consequences in the private and public sector. But what can we do to overcome them?
It may seem extreme, but there’s a reason the law allows it.
From case prospects to bail decisions, law firms are in the early stages of an AI revolution.
As far back as the dawn of the internet, scholars have discussed how AI might serve to replace (or supplement) human relationships.
Artificial intelligence is everywhere, and the tech industry is racing along to develop ever more powerful AIs. Three scholars look ahead to the next chapter in this technological revolution.
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.
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