Artificial intelligence could be used to generate content intended to manipulate people. Addressing this problem means understanding how communication works to influence people.
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Articles on Artificial intelligence (AI)
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You probably already use AI in your life - take time to think about how these tools help you.
Visual artists draw from visual references, not words, as they imagine their work. So when language is in the driver’s seat of making art, it erects a barrier between the artist and the canvas.
Unlike a human editor, AI cannot explain their decisions or reasoning in a meaningful way. This can be a problem in a field where accountability and transparency are important.
AI could allow cybercriminals to operate with greater efficiency, targeting more people at once.
New digital technologies have been a constant for workers over the past few decades, with a mixed record on the economy and individuals’ daily lives. AI’s effect will likely be just as unpredictable.
If you drop advanced AI into a dumb organisation, it won’t make it smart. It will just help the organisation do dumb stuff more efficiently (in other words, quicker).
Data centres and lithium mines have been proposed for depopulated regions of Spain.
The question of whether artificial intelligence could, hypothetically, wipe out human civilisation is counterproductive and diverts attention from more pressing challenges.
A competition is heating up between the two tech giants over AI.
Cyber bank fraud is on the rise. Here are some important ways to protect yourself.
Public comment could soon swamp government officials and representatives, thanks to AI, but AI could also help spot compelling stories from constituents.
Using AI effectively in healthcare will require retraining of the workforce, retooling health services, and transforming workflows.
AI can quietly work in the background as a sophisticated technological tool that delivers better results and performance for people.
The use of artificial intelligence in architecture practice and education is limited by its datasets and lack of empathy.
Large language models have been shown to ‘hallucinate’ entirely false information, but aren’t humans guilty of the same thing? So what’s the difference between both?
Intellectual property law wasn’t written with AI in mind, so it isn’t clear who owns the images that emerge from prompts – or if the artists whose work was scraped to train AI models should be paid.
The EU’s attempt to regulate AI is focused on specific risks posed by the technology.
We humans like to think that our language is original, but we absorb large amounts of it from others and liberally repeat and remix what we hear – just as language AIs do.
Strengthening democratic values in the face of AI will require coordinated international efforts between industry, government and non-governmental organizations.
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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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Professor of Philosophy and Director, Applied Ethics Center, UMass Boston
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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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James Martin Research Fellow, Future of Humanity Institute & Oxford Martin School, University of Oxford
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Lecturer in Business Analytics, University of Sydney
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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
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Senior Lecturer in Visual Communication & Digital Media, RMIT University
