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.
L’expertise universitaire, l’exigence journalistique
Articles sur Artificial intelligence (AI)
Affichage de 61 à 80 de 1310 articles
It’s increasingly hard to tell which content online is fake. As malicious actors use generative AI to fuel disinformation, governments must regulate now before it’s too late.
Artificial intelligence helped produce the Beatles’ 2023 hit “Now and Then.” But despite the sophisticated technology, the song reveals our obsession with the past and our anxieties about the future.
AI and smart software make life easier, most of the time. How do you keep your skills up for the times when they fail?
Deepfake scams are on the rise – but can their victims claim compensation? The legal landscape is still developing.
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.
Deepfakes are on the rise in South Africa and many people seemingly struggle to spot them.
Will the hotels of the future involve fewer front desk clerks and more automated service? A hospitality expert who has written a new book on the subject weighs in.
As with any technological advancement, professionals will need to adapt and find ways to integrate Sora into their workflows, leveraging its strengths to complement their own skills and creativity.
Artificial intelligence helped identify the blood proteins that are the best predictors of dementia.
OpenAI’s Sora model is a leap forward for video-generation technology. How does it work, and what will it mean?
Treatment for lung cancer patients is the same for everyone, regardless of the risk of recurrence. The use of a new technology could refine diagnosis.
Technological approaches could help reduce the carbon impact of artificial intelligence systems.
Researchers hope to find more ancient philosophy and possibly more literature.
With work at our fingertips at all hours of the day, it can be hard to disconnect. AI assistants may solve the problem – at least, that’s what big tech wants us to think.
Artificial intelligence systems that can handle the pressure of high-speed auto racing could lead to driverless vehicles that can safely manage the morning commute.
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.
The lawsuit could have major implications for how AI “training” data is treated.
From making journeys more fuel-efficient to reducing food waste.
Les contributeurs les plus fréquents
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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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Assistant Professor of Integrative Biology & Computer Science and Engineering, Michigan State University
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Professor, Queensland University of Technology
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Assistant Professor, Psychology, Concordia University
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Professor of Computer Science and Director of the Art & AI Lab, Rutgers University
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Professor of Philosophy and Director, Applied Ethics Center, UMass Boston
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James Martin Research Fellow, Future of Humanity Institute & Oxford Martin School, University of Oxford
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Adjunct Lecturer in Public Policy, Harvard Kennedy School
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Professor in Computing and Information Systems, Edge Hill University
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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
