Drones could carry out safety inspections more safely and ferry materials between floors.
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Articles on Artificial intelligence (AI)
Displaying 1 - 20 of 1403 articles
New technologies are disrupting the fashion industry. From virtual showrooms to supply chain management, these technologies carry both opportunities and threats.
While some nurses have protested the use of robotics and AI in healthcare, new technologies could help care for aging populations offering efficiency alongside the compassion of human nurses
France is using experimental AI-enabled surveillance and data collection tools before, during and after the 2024 Summer Olympics. Here’s what that means for the trade-off between security and privacy.
ChatGPT is a breakthrough innovation, but is it a fundamentally disruptive one that will transform schools and universities?
Generative AI advances bring risks of model collapse. Here’s how synthetic data can address these risks.
AI-driven hyper-personalised health nudges could be the next big thing – but they ignore the real factors behind chronic health problems
The methods used to manipulate perceptions and hold on to power in Africa are getting increasingly sophisticated.
AI is everywhere these days, which means more data centers eating up more electricity. There’s no easy fix, but some combination of efficiency, flexibility and new technologies could ease the burden.
Don’t feel you need to rush out and enrol in a degree on how to become an AI engineer (unless, of course, that is where your interest and passion lie).
Google, Microsoft and Meta have all reported significant emissions increases due to AI.
The government has revived the Fair Digital News Bargaining Bill, but the way AI may be skewing news results and visibility is off the table for now. My new research suggests it should be a priority.
Artificial intelligence technologies are changing how users experience intimate romantic and sexual connections. These technologies bring many positive benefits, but there is a dark side.
Marine ecologist Isabel Key explains what she’s finding as she listens to the sounds of underwater seagrass meadows. Listen on The Conversation Weekly podcast.
Many datasets have gaps and biases due to how the information was gathered. Developers must account for this to avoid embedded wrong assumptions being carried across to train future AIs.
Human Rights Watch has sounded the alarm over Australian children’s images found in a huge data set used to train AI models. It could be a breach of our privacy law.
AI Steve promises to ‘reinvent democracy’.
Generative AI music apps Suno and Udio are alleged to have copied significant amounts of famous recordings.
Disabled people are experts in using – and designing – assistive technologies. They have lessons to offer everyone about keeping control when help is offered.
You’ve heard of debunking, but what about prebunking? Getting ahead of misinformation can pay off, but it’s not a silver bullet.
Top contributors
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Professor of AI, Research Group Leader, UNSW Sydney
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Senior Lecturer in Applied Ethics & CyberSecurity, Griffith University
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Professor in Robotics, Queensland University of Technology
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Professor of Information Systems, Michigan State University
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PhD in machine ethics, University of Canterbury
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Adjunct Lecturer in Public Policy, Harvard Kennedy School
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Assistant Professor of Integrative Biology & Computer Science and Engineering, Michigan State University
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Professor of Philosophy and Director, Applied Ethics Center, UMass Boston
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Assistant Professor, Psychology, Concordia University
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Professor, Queensland University of Technology
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Professor of Computer Science and Director of the Art & AI Lab, Rutgers University
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Lecturer in Business Analytics, University of Sydney
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Research Assistant Professor of Industrial & Systems Engineering, University of Southern California
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Senior Lecturer in Visual Communication & Digital Media, RMIT University
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James Martin Research Fellow, Future of Humanity Institute & Oxford Martin School, University of Oxford
