If we’re going to put an AI brain somewhere, it’s likely going to be a robot. The next step – making that robot immortal.
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Articles on Artificial intelligence (AI)
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Academic authorship was never straightforward. Now ChatGPT is making it even more complicated.
ChatGPT is a sophisticated AI program that generates text from vast databases. But it doesn’t understand the information it produces, which also can’t be verified through scientific means.
AI’s ability to identify ‘technosignatures’ missed by classical algorithms is an exciting step forward for radio astronomers.
Deepfakes have found their perfect vehicle in comedy – which allows them to be enjoyed without fear of deception.
Artificial Intelligence comes with a litany of ethical risks and dilemmas. Some are universal, but some are unique to particular countries, like South Africa.
AI models are increasingly being used to make important decision about people’s lives – just take Robodebt. Yet the complexity of these systems means we hardly understand them.
Some think ChatGPT threatens education, but it might benefit educators and students alike.
The rise of AI chatbots provides an opportunity to expand the ways we do philosophy and research, and how we engage in intellectual discourse.
A puzzle over the identity of an extinct bird that laid eggs across Australia has been solved.
People often struggle to distinguish between real faces and artificial ones made by a computer.
While ChatGPT has the potential to enhance marketing effectiveness, it can’t replace human creativity or form meaningful connections with customers like humans can.
People who have used AI to help with writing report a loss of pride and ownership in what they produce.
Far from recoiling in terror, fans have dubbed animatronic murderous doll M3gan a ‘queer icon’ – a horror expert explains why.
We need to embrace the use of AI in higher education because the positives can far outweigh the negatives.
To help people with communication disability, AI like ChatGPT needs to be accessible and inclusive from the start.
To understand the potential for machine learning to transform medicine, we must go back to the controversial origins of data use in healthcare
The technology’s focus on the framing of the artistic task amounts to the fetishization of the creative moment – and devalues the journey that waters the seed of an idea to its fruition.
Now that AI systems can generate realistic images and convincing prose, are creative and knowledge workers endangered or poised for productivity gains? A panel of experts says it’s not so clear-cut.
Eye movement studies can track where someone is at in their thinking process.
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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Assistant Professor of Integrative Biology & Computer Science and Engineering, Michigan State University
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Adjunct Lecturer in Public Policy, Harvard Kennedy School
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Assistant Professor, Psychology, Concordia University
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Professor, Queensland University of Technology
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Professor of Philosophy and Director, Applied Ethics Center, UMass Boston
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Lecturer in Business Analytics, University of Sydney
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James Martin Research Fellow, Future of Humanity Institute & Oxford Martin School, University of Oxford
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Senior Lecturer in Visual Communication & Digital Media, RMIT University
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Professor of Computer Science and Director of the Art & AI Lab, Rutgers University
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Research Assistant Professor of Industrial & Systems Engineering, University of Southern California
