Researchers hope to find more ancient philosophy and possibly more literature.
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Articles on Artificial intelligence (AI)
Displaying 81 - 100 of 1317 articles
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.
Cotton is one of the world’s largest crops and is harvested with large, heavy machines. Robotic harvesting could yield higher-quality cotton with less damage to plants and soil.
Police use of surveillance technologies — like security cameras and artificial intelligence — is becoming more widespread. Measures are needed to protect people’s privacy and avoid misidentification.
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.
Tech companies are offering AI companions as a convenient cure for the loneliness epidemic, but there have been other forms of faux relationships, and they tend to have more to do with ego than heart.
Disinformation experts, Lilik Mardjianto and Nuurrianti Jalli, tell The Conversation Weekly podcast about the deepfakes circulating ahead of the Indonesian election.
Artificial intelligence has been around for decades, and is much more than just ChatGPT. Here’s a rundown of some lesser known AI applications.
Deepfake technology is widely available, and a pivotal election year lies ahead. The FCC banned AI robocalls, but AI-enhanced disinformation campaigns remain a threat.
Traditionally dominated by the use of centralised, resource-intensive servers, machine learning is being democratised with the growth of “TinyML”, distinguished by its small size and low cost.
After all, it’s not a real person.
Like many technologies, AI can be subverted by cybercriminals.
AI is likely to be used to help us run elections in the near future but there are risks as well as reward.
Coles plans to ‘optimise its workforce’ with big data and AI tools from a controversial tech company.
The proliferation of non-consensual, sexualised deepfake images is a reflection of society’s negative attitudes towards women.
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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Professor, Queensland University of Technology
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Assistant Professor of Integrative Biology & Computer Science and Engineering, Michigan State University
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Assistant Professor, Psychology, Concordia University
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Adjunct Lecturer in Public Policy, Harvard Kennedy School
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Professor of Philosophy and Director, Applied Ethics Center, UMass Boston
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Professor of Computer Science and Director of the Art & AI Lab, Rutgers University
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James Martin Research Fellow, Future of Humanity Institute & Oxford Martin School, University of Oxford
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Emeritus Professor, University of Nottingham, (currently CEO and Senior Vice President of the PETRA Group), University of Nottingham
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Research Assistant Professor of Industrial & Systems Engineering, University of Southern California
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Professor of Artificial Intelligence, University of Bath
