The increasing use of artificial intelligence and machine learning in public decision making is raising critical issues around fairness and human rights.
Academic rigor, journalistic flair
Articles on Machine learning
Displaying 1 - 20 of 194 articles
Machine learning systems can now aid human intuition to create mathematical conjectures and proofs.
Inclusivity and diversity also need to be at the level of identifying values and defining frameworks of what counts as ethical AI in the first place.
Individuals who experience suicidal thoughts can show signs of this in the language they use. We analysed more than 100 suicide notes to find these language patterns.
Machine learning algorithms can help public health officials identify areas of high vaccine hesitancy by ZIP code to better target messaging and outreach and counter misinformation.
Breathless headlines of artificial intelligence discovering or restoring lost works of art ignore the fact that these machines rarely, if ever, reveal one secret or solve a single mystery.
Our data provides a common benchmark unbiased by reporting from companies or governments.
Facebook’s Ego4D project will help computers see the world from your point of view - for better or worse.
As the perils and wonders of artificial intelligence begin to permeate our lives, the ‘IPCC report for AI’ calls for action from researchers and government to ensure a safe future.
Natural language coding means that people won’t need to learn specialized coding languages to write programs or design websites. But large corporations will control the means of translation.
As the pandemic pushes healthcare online, it’s time to stop overlooking the environmental impacts.
The amount of climate data available to us is growing exponentially, and is far too much to sort through ourselves. But machines can do this for us.
Lawyers were thought to be mostly immune from the coming AI revolution, but two legal experts explain why jobs that rely on human ingenuity can still be affected.
Machine learning is great at finding patterns but doesn’t know what those patterns mean. Combine it with knowledge gained from genetic research and you have a powerful view into the workings of cells.
The decision is supported by the government’s policy environment in recent years. This has aimed to increase innovation, and views technology as a way to achieve this.
Automation is set to put a lot of people out of work - but machine learning could help them find their next career.
It’s difficult to tell a shipwreck from a natural feature on the ocean floor in a scan taken from a plane or ship. This project used deep learning to get it right 92% of the time.
Machine learning offers improved access to affordable testing and quality of care for those who are unaware of their hepatitis B status.
Machine learning is helping astronomers unravel the vast amounts of data being collected.
Through the act of suggesting some words and not others, the predictive text features in our devices change the way we think — and therefore shape our culture.
Top contributors
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Professor in Robotics, Queensland University of Technology
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Professor of AI at UNSW, Research Group Leader, UNSW
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Professor of Marketing and Consumer Behaviour, Queensland University of Technology
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Senior Lecturer in Applied Ethics & CyberSecurity, Griffith University
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Professor of Computer Science, Queen Mary University of London
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Professor of Machine Learning, University of Sheffield
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Professor, ESCP Business School
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Professor of Fourth Industrial Revolution & Global Shifts, Arizona State University
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Professor, Director of the Art & AI Lab, Rutgers University
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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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Head of the Marketing Innovation and Distribution Program at EMLV, Pôle Léonard de Vinci – UGEI
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Assistant Professor of Integrative Biology & Computer Science and Engineering, Michigan State University
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Professor of Information Systems, Michigan State University
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Professor of Computer Science and Engineering; Director, UB Media Forensic Lab, University at Buffalo
