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.
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Articles on Algorithm
Displaying 1 - 20 of 241 articles
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.
Vlogging has emerged as a new source of intimate entertainment, and for creators, potential income. However, they also raise serious questions about exploitation and the privacy rights of children.
New features on Apple iOS 17 aim to give users insights into their mental health, but they may also shape how people see themselves.
Data used to train AI systems often reflects the racism inherent in society.
The seeds of the current commotion over AI were laid years ago.
Social media companies’ drive to keep you on their platforms clashes with how people evolved to learn from each other. One result is more conflict and misinformation.
AI can streamline the painstaking work of mixing and editing tracks. But it’s also easy to see how AI-generated music will make more money for giant streaming services at the expense of artists.
By bridging culture and computation, heritage algorithms challenge the myth of ‘primitive cultures’ and forge a new understanding of science and art.
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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, University of Adelaide
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Professor in Business Information Systems, University of Sydney
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University of Hertfordshire
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Senior research associate, University of Sydney
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Professor of Computer Science and Director of the Art & AI Lab, Rutgers University
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Head of Art and Design, University of Hertfordshire
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Lecturer in Computer Science/Co-founder Women Leading in AI, Keele University
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Professor, Real Estate, Université du Québec à Montréal (UQAM)
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Senior Lecturer of Marketing, Swinburne University of Technology
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Assistant Professor, Department of Biology, University of Fribourg
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Associate Professor of Computer Engineering and Computer Science, University of Louisville
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Associate Professor
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Professor of Law and Technology, La Trobe University, Victoria University
