The explosion of generative AI tools like ChatGPT and fears about where the technology might be headed distract from the many ways AI affects people every day – for better and worse.
Academic rigor, journalistic flair
Articles on Machine learning
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Students often use generative AI tools for engaged learning. They have a critical and nuanced understanding of these tools.
This new last Beatles song, enabled in part by AI, demonstrates the importance of the profound and lasting connections between the four musicians.
A tangle of silver nanowires may pave the way to low-energy real-time machine learning.
The Turing test, first proposed in 1950 by Alan Turing, was framed as a test that could supposedly tell us whether an AI system could ‘think’ like a human.
An AI model shows that building collapses in Lagos are location specific, and soil testing can help to check them.
AI poses a variety of ethical conundrums, but the NASA teams working on Mars rovers exemplify an ethic of care and human-robot teamwork that could act as a blueprint for AI’s future.
People can trust each other because they understand how the human mind works, can predict people’s behavior, and assume that most people have a moral sense. None of these things are true of AI.
The science of human consciousness offers new ways of gauging machine minds – and suggests there’s no obvious reason computers can’t develop awareness.
A new machine learning model can pinpoint anomalies in sports results – whether from match fixing, strategic losses or poor player performance. It could be a useful tool in the fight against cheating.
The seeds of the current commotion over AI were laid years ago.
Fraud was up 25% in the UK in 2021/22.
Air quality forecasting is getting better, thanks in part to AI. That’s good, given the health impact of air pollution. An environmental engineer explains how systems warn of incoming smog or smoke.
Giving AI any degree of executive control could be dangerous for humans.
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.
Top contributors
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Research Fellow in AI Accountability, Queensland University of Technology
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Senior Lecturer in Behavioral Data Science, University of Technology Sydney
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Professor of Information Systems, Michigan State University
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Professor in Robotics, Queensland University of Technology
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Professor of Strategy, Economics and Foresights, Hult International Business School
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Associate research scientist Cambridge Judge Business School and lecturer GEM, Grenoble École de Management (GEM)
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Professor of Neuroscience and Mathematics, The University of Queensland
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Senior Lecturer in Applied Ethics & CyberSecurity, Griffith University
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Associate Professor
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Professor of AI, Research Group Leader, UNSW Sydney
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Professor of Machine Learning, University of Sheffield
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Professor, ESCP Business School
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Professor, School of Philosophy, Australian National University
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Professor of Computer Science and Director of the Art & AI Lab, Rutgers University
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Professor of Marketing and Consumer Behaviour, Queensland University of Technology
