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.
Articles on Algorithmic harm
Displaying 21 - 26 of 26 articles
Large language models have been shown to ‘hallucinate’ entirely false information, but aren’t humans guilty of the same thing? So what’s the difference between both?
Biased algorithms in health care can lead to inaccurate diagnoses and delayed treatment. Deciding which variables to include to achieve fair health outcomes depends on how you approach fairness.
Without more transparency about AI use, it will be difficult for people to challenge biased decisions against them.
What data privacy risk does TikTok pose, and what could the Chinese government do with data it collects? And is it even possible to ban an app?
New research highlights the problem of algorithmically embodied emissions.
Top contributors
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Professor of Information Systems, Michigan State University
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Lecturer in Law, Adelaide University
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Assistant Professor of Computer Science, Johns Hopkins University
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Assistant Professor of Practice, University of Denver
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Principal Research Consultant in Strategic Foresight, CSIRO
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Professor of Health Economics, University of Washington
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Senior Research Fellow, Human-AI Decision Making, The University of Queensland
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Taylor Reveley Research Professor and Professor of Law, Director, Digital Democracy Lab, William & Mary
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University Professor of Electrical and Computer Engineering, Iowa State University
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Professor of Economic Law and Co-Director of the Centre for Global Law and Innovation, University of Bristol
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Assistant Professor of Data Science, University of Virginia
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Researcher, Swedish University of Agricultural Sciences and Honorary Research Fellow, University of Manchester
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Assistant Professor of Computer Science, University of Virginia
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Professor of Marketing and Everett W. Lord Distinguished Faculty Scholar, Boston University
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PhD Candidate, International Studies, RMIT University