Artificial intelligence is becoming increasingly common across aspects of our lives. But what role should it play in how we find love?
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AI algorithms can solve hard problems and learn incredible tasks, but they can’t explain how they do these things. If researchers can build explainable AI, it could lead to a flood of new knowledge.
If the historical data used to train an AI system disadvantages certain minority groups, the system can be swayed to follow these patterns in its own decision-making process.
Imagine an advanced artificial intelligence took over from Santa. What could go wrong?
Forced labor is a widespread problem in fisheries on the high seas. Between 2012 and 2018, an estimated 100,000 people may have been victims of forced labor on thousands of different boats.
Australians are highly engaged on the topic, yet don’t have strong opinions either way. Among potential migrants, only Indians showed a high degree of interest in Australia as a destination.
Training neural networks burns through a lot of energy. As the AI field grows, it’s working to keep its carbon foot print from growing with it.
Understanding how cells grow under a variety of conditions is necessary for diagnosing disease and developing treatments in the future.
Neural networks today do everything from cameras to translations. A professor of computer science provides a basic explanation of how neural networks work.
The departure of AI ethics researcher Timnit Gebru from Google highlights attempts to make algorithmic decision-making accountable.
Fears over the sinister side of artificial intelligence have become reality
Scientists in an artificial intelligence lab have made a breakthrough in solving the problem of how proteins fold into their final three-dimensional shape. The work could speed up creation of drugs.
This automated approach can be used in any other city around the world, helping to reduce how much waste enters local waterways and reaches the ocean.
Interpreting legal rules is a very human process. How do we enable computers to read and apply them?
With mountains of digital evidence, advanced computing techniques could help judges and jurors better understand how criminal syndicates operate — potentially allowing fairer sentencing.
Computational methods could help identify conspiracy theories as they emerge.
Remember what life was like before social media took over? Now that the election is over, it might be a good time to take back our lives.
Cyber-attacks on medical devices and hospital networks are a growing threat, and patients have the right to know.
The use of artificial intelligence in health care is on the rise, and the concerns of the public need to be considered in developing policy that regulates its application.
A new report shows Australians on the whole don’t know a lot about how AI is used today, have little trust in the technology, and believe it should be carefully regulated.
Principais colaboradores
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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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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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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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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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Lecturer in Business Analytics, University of Sydney
