Pathogens rapidly evolve resistance to antibiotics. AI could keep us a step ahead of deadly infections.
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Articles on Artificial intelligence (AI)
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The use of online health platforms is on the rise, allowing us to track and share our personal data. While such platforms have promise, significant scientific, ethical and privacy questions remains.
States are increasingly turning to machine learning and algorithms to detect fraud in food stamps, Medicaid and other welfare programs – despite little evidence of actual fraud.
The knowledge produced in designing and developing artificial neural networks may provide new insights into how our brains work.
Data privacy regulations are being adopted to protect internet users. Today, humans need to read those rules to ensure compliance. New research suggests machines could interpret them in real time.
Machines mostly innovate on narrow dataset, which limits their creativity.
Attitudes about data entry are complex, despite a recent study suggesting it’s the most despised workplace task.
No one knows exactly how AI-based DNA analysis software works, so it can’t be scrutinised in court.
From wearables with monitoring chips to face scanners that assess your contentment, workplace surveillance seems to be going in one direction.
Our research uses artificial intelligence to unblock hospital beds and helps doctors and nurses to know quickly which patients are safe to go home.
The digital economy will, soon, become the ordinary economy as the uptake - and application - of digital technologies in every sector in the world grows.
AI-powered text generators are becoming increasingly easy to access. Rather than banning their use by students, educators should think about incorporating such tools into their curriculums.
Xenobots have been called the world’s first “living robots”. They are made entirely of living tissue, and can be programmed to move towards a certain object.
Technological change has always destroyed jobs. But now automation and artificial intelligence are drying up the options for those displaced.
Traditional companies need to embrace high-quality data gathering to avoid being left behind by the next industrial revolution.
There is a need to move from conventional cancer treatments to more targeted and personalised therapies.
Scores of jobs could be affected by the fourth industrial revolution – and not enough is being done to guard against this.
Medical data will need to be treated as precious to our health as drinking water.
Abandoned trolleys are an all-too-common sight. A solution to this intractable problem depends on a combination of policy and legal changes, public engagement and tracking technology.
A report calls for banning the use of emotion recognition technology. An AI and computer vision researcher explains the potential and why there’s growing concern.
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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Professor, Queensland University of Technology
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Professor of Philosophy and Director, Applied Ethics Center, UMass Boston
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Assistant Professor, Psychology, Concordia University
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Assistant Professor of Integrative Biology & Computer Science and Engineering, Michigan State University
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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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James Martin Research Fellow, Future of Humanity Institute & Oxford Martin School, University of Oxford
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Adjunct Lecturer in Public Policy, Harvard Kennedy School
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Emeritus Professor, University of Nottingham, (currently CEO and Senior Vice President of the PETRA Group), University of Nottingham
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Senior Lecturer in Visual Communication & Digital Media, RMIT University
