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Articles on Algorithm
Displaying 41 - 60 of 291 articles
AI will feature in future Nobel prizes as scientists exploit the power of this technology for research.
An impending election doesn’t mean that people have to avoid social media altogether. When used wisely, it can still be an important source for political information and an outlet to express opinions.
Users must learn to understand and navigate digital environments critically.
The most common method used to study animal sounds visually has some known drawbacks. We created a new tool that reveals previously unseen details.
The machine learning model can work in the absence of video data, identifying prey capture events from new acceleration and depth data.
Many datasets have gaps and biases due to how the information was gathered. Developers must account for this to avoid embedded wrong assumptions being carried across to train future AIs.
A new parliamentary committee will look into how social media operates in Australia, including how children access it. Regulating the industry won’t be easy.
People are better able to see and correct biases in algorithms’ decisions than in their own decisions, even when algorithms are trained on their decisions.
Our modern lives are influenced by algorithms at every step. We can trace this influence back more than 1,200 years ago – to a Muslim mathematician.
Governments should play to their existing strengths in data collection to make AI safer for their citizens, including assessing what kinds of data are too risky to allow private companies to collect.
Adolescents treat ‘for you’ algorithms as a social mirror and are willing to give up privacy to use it.
New research found a way to both improve the accuracy of deepfake detection algorithms while also enhancing fairness.
Four Ontario school boards have filed a lawsuit against social media platforms to force them to change practices that harm schoolchildren.
Quantum computing has huge promise from a technical perspective, but the practical benefits are less clear.
Conservation of biodiversity is in the hands of humans but artificial intelligence can help guide decisions.
Robo-advisers and AI are making investing accessible to everyone, but there are also risks to consider.
Companies are using artificial intelligence to personalise products as consumers become more demanding about what they expect from big brands.
Existing AI systems learn patterns from very large piles of data – but they have no insight.
With an eye to Kant’s work, a philosopher and a sociologist argue that the Uber project robs drivers of their dignity.
Top contributors
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Professor of Informatics and Computer Science, Indiana University
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Professor of Information Systems, Michigan State University
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Professor of Data Science; Director, Adelaide Data Science Centre, Adelaide University
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Senior Research Associate in Media and Communications, University of Sydney
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Professor in Business Information Systems, University of Sydney
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Senior Lecturer in Public Policy and Politics, UNSW
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Scientia Professor of Evolution, UNSW
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Associate Professor in Digital Media, Queensland University of Technology
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Head of Art and Design, University of Hertfordshire
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University of Hertfordshire
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Professor, Real Estate, Université du Québec à Montréal (UQAM)
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Lecturer in Computer Science/Co-founder Women Leading in AI, Keele University
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Professor of Computer Science and Director of the Art & AI Lab, Rutgers University
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Professor of Strategic Design, Queensland University of Technology
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Visiting researcher, Alan Turing Institute