Giving AI any degree of executive control could be dangerous for humans.
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Articles on Machine learning
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To be useful in high-stakes situations, AI needs to understand cause and effect – and the limits of its knowledge.
A machine learning algorithm was able to accurately predict those with preclinical Alzheimer’s disease based on their gut microbe composition.
Machine learning can spot patterns in patient data and help detect hepatitis B earlier, which could save lives.
Artificial intelligence looks like a political campaign manager’s dream because it could tune its persuasion efforts to millions of people individually – but it could be a nightmare for democracy.
Our new study demonstrates the enormous potential that machine learning has to help identify people with AS
Quantum machine learning models could help us create AI systems that are almost impenetrable by hackers. But in the hands of hackers, the same technology could wreak havoc.
Generative AIs may make up information they serve you, meaning they may potentially spread science misinformation. Here’s how to check the accuracy of what you read in an AI-enhanced media landscape.
Pain has long been subjectively measured, leading to frustrations for patients and doctors alike. Identifying neural biomarkers of pain could improve diagnosis and lead to better treatments of chronic pain conditions.
Metaphorical black boxes shield the inner workings of AIs, which protect software developers’ intellectual property. They also make it hard to understand how the AIs work – and why things go wrong.
The shortcuts made when AI was being developed can guide society’s responses to the technology.
Artificial intelligence tools are making waves in almost every aspect of life, and astronomy is no different. An astronomer explains the history and future of AI in understanding the universe.
if a machine can ascribe intent to the events and experiences befalling it, this raises the question of identity and what it means to be aware of oneself and others
Machine learning is becoming an indispensable tool in astronomy by sorting through enormous datasets from telescopes.
Pausing AI development will give our governments and culture time to catch up with and steer the rush of new technology.
Machine learning may not seem to have much connection with wildlife, but it’s starting to play a central role in bird conservation.
Our tendency to view machines as people and become attached to them points to real risks of psychological entanglement with AI technology.
An automatic system to determine political ideology from online posts could be a powerful tool against online radicalisation.
The technology exists to build autonomous weapons. How well they would work and whether they could be adequately controlled are unknown. The Ukraine war has only turned up the pressure.
There won’t be an easy tech fix for the questions about authorship raised by ChatGPT and other text generators.
Top contributors
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Research Fellow in AI Accountability, Queensland University of Technology
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Professor of Information Systems, Michigan State University
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Associate Professor in Behavioral Data Science, University of Technology Sydney
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Professor in Robotics, Queensland University of Technology
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Research Assistant Professor of Industrial & Systems Engineering, University of Southern California
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Head of the Marketing Innovation and Distribution Program at EMLV, Pôle Léonard de Vinci
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Associate research scientist Cambridge Judge Business School and lecturer GEM, Grenoble École de Management (GEM)
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Assistant Professor of Integrative Biology & Computer Science and Engineering, Michigan State University
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Professor of Machine Learning, University of Sheffield
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Professor of Marketing and Consumer Behaviour, 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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Professor, ESCP Business School
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Associate Professor
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Professor of Neuroscience and Mathematics, The University of Queensland
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Professor of AI, Research Group Leader, UNSW Sydney
