Users must learn to understand and navigate digital environments critically.
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Articles sur Algorithm
Affichage de 1 à 20 de 248 articles
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.
Whatever approach you take to managing your feeds, remain cautious and sceptical.
Algorithms have been blamed for dividing society. What if they could support social cohesion instead?
Effective implementation of existing law can protect us from the risks posed by AI algorithms.
Les contributeurs les plus fréquents
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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, University of Adelaide
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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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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, Real Estate, Université du Québec à Montréal (UQAM)
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Head of Art and Design, University of Hertfordshire
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University of Hertfordshire
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Visiting researcher, Alan Turing Institute
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Fellow of the Faculty of Engineering and Information Technology, University of Technology Sydney
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Assistant professor in organisation studies, Durham University
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Professor of Urban Informatics, Queensland University of Technology
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Senior Lecturer, Media and Communication, School of Social Sciences, The University of Western Australia
