AI systems mass-producing cheap research would be bad news for an already struggling scientific ecosystem.
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Articles sur Artificial intelligence (AI)
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Artificial intelligence ‘bots’ may be widely available to teach in the coming years. But will they be effective? An expert on technology in education weighs in.
Labour’s decision to cancel the UK’s next-generation supercomputer is just the tip of the iceberg.
As the federal government prepares to reform Australia’s privacy laws, it needs to better protect brain data.
A study of more than 1,000 IVF patients showed a deep learning software system was almost as good as human experts at choosing viable embryos.
Generative AI needs tons of data to learn. It also generates new data. So, what happens when AI starts training on AI-made content?
Early expectations for generative AI are deflating – but realistic applications are beginning to emerge.
The media landscape is rapidly changing – and everyone needs to know how to participate in it.
This is the story of a range of new technologies that are getting cheaper and being adopted at such speeds that society can barely keep up.
As police departments across the US and the world adopt real-time crime centers, there’s a need for better public understanding of how these centers work.
A team of particle physicists have rolled out the first inexpensive South African air quality monitoring system using artificial intelligence to predict areas of high pollution.
A risk-based approach to regulating AI can help minimise the dangers of the new technology
The majority of jobs will be affected by AI within the next 10 years. Women need to learn how to use this new technology if they don’t want to lose momentum in the job market.
The technology behind ChatGPT could help put humanoid robots in homes and workplaces.
Smart buildings can team up to be more energy efficient while keeping the people inside comfortable.
There are hopes AI may be the silver bullet we need to save the environment – but it comes with downsides.
As they improve, we’ll likely trust AI models with more and more responsibility. But if their autonomous decisions end up causing harm, our current legal frameworks may not be up to scratch.
We need to empower Gen Z to create a future where genuine human connections and experiences continue to thrive alongside technological advancements.
Google’s recent ad controversy brings up key questions about the preservation of human skills, and the ethical and social implications of integrating generative AI tools into everyday tasks.
Brains encode language by matching words to patterns of activity. Large language models can do the same thing.
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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Professor of Philosophy and Director, Applied Ethics Center, UMass Boston
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Professor, Queensland University of Technology
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Adjunct Lecturer in Public Policy, Harvard Kennedy School
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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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Research Fellow in AI Accountability, Queensland University of Technology
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James Martin Research Fellow, Future of Humanity Institute & Oxford Martin School, University of Oxford
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Research Assistant Professor of Industrial & Systems Engineering, University of Southern California
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Professor of Computer Science and Director of the Art & AI Lab, Rutgers University
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Lecturer in Business Analytics, University of Sydney
