What if an AI system could recognize when it’s confused or when to think more carefully? Researchers are working to give large language models these metacognitive abilities.
Articles on Generative AI
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History shows voluntary safeguards fade as profits rise, risking a more persuasive new era of online advertising.
AI-mediated culture is already being filtered in ways that favor the familiar, the describable and the conventional.
New research reveals that when we outsource the effort of finding the right words, we strip our relationships of their value.
AI does not simply revive, but rewrites, repurposes and redistributes the dead. And this is marked by a lingering sadness.
I had reservations about these tools and how they might affect me as a musician, but I was also intrigued by the possibilities.
After a year of fast advances, deepfakes are entering a new era defined by real-time interaction with people.
From viral jokes to deepfakes: when AI trivializes transgression, our collective moral compass falters. It is time to educate people about digital responsibility.
In my survey, 39% of novelists reported that their income has already been negatively impacted by GenAI.
As AI floods the internet with text, it could mean human voices will matter more – not less.
Generative AI may appear to offer a shortcut, but without verification and expertise, it can easily mislead users.
A sociologist who researches AI’s impact on work and education argues there are ethical dimensions to generative AI that institutions are not considering.
Scientists across all fields make various types of claims about their innovations. Validity tests check whether they deliver on what they promise.
Students – and all manner of professionals – are tempted to outsource their thinking to AI, which threatens to undermine learning and credibility. A philosophy professor offers a solution.
Research asking AI models to describe and generate pictures reveals they see a bright, sensational world of generic images.
Without deliberate strategies, over-reliance on AI could erode self-trust, creativity and ethical judgment and leave organizations more fragile, not more resilient.
While we’re at the peak of AI hype, some people are concerned it will wipe out humanity.
Employers and societies demand graduates who can evaluate information and make sound judgments.
Generative AI changes how we see – and how we decide what’s real.
Individuals, organisations, countries and AI developers all have a role to play.
Top contributors
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Associate Professor of Visual Communication & Digital Media, RMIT University
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Senior Lecturer in Law, University of New England
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Associate Professor of Linguistics and Director of Language Lab, The University of Western Australia
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Senior Lecturer in Law and Emerging Technologies, Western Sydney University
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Senior Lecturer in Business Information Systems, University of Sydney
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Professor of Philosophy and Director of Applied Ethics Center, UMass Boston
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Professor in Computational Intelligence, Australian Catholic University
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Adjunct Lecturer in Public Policy, Harvard Kennedy School; University of Toronto
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Professor of Digital Communication, Director of QUT Digital Media Research Centre, 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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Director of Sydney Executive Plus, Business School, University of Sydney
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Professor of Computer Science, University of California, Berkeley
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Associate Professor of Information Science, University of Colorado Boulder
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Assistant Professor, Faculty of Business, University of New Brunswick
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Associate Professor of Political Science, Brock University