Framing dissent and poverty as a menace to public order can threaten fundamental rights, particularly when it’s used to justify the deployment of predictive technology.
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Articles on Algorithmic harm
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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.
The age of AI warfare has arrived – and it’s not looking good.
Bias in AI has been getting a lot of attention lately, but it’s just one aspect of the larger – and thornier – problem of fairness in AI.
The explosion of generative AI tools like ChatGPT and fears about where the technology might be headed distract from the many ways AI affects people every day – for better and worse.
The plaintiffs claims features such as ‘infinite scroll’ leave users less likely to be able to exercise self-control.
If safety is the heart of the Biden administration’s executive order on AI, then civil rights is its soul.
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.
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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Assistant Professor of Computer Science, University of Virginia
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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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Researcher, Swedish University of Agricultural Sciences and Honorary Research Fellow, University of Manchester
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Professor of Electrical and Computer Engineering, Iowa State University
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Professor of Information Studies, Lund University
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PhD Candidate, International Studies, RMIT University
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Professor of Health Economics, University of Washington
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Principal Research Consultant in Strategic Foresight, Data61
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Research Scientist, Responsible Innovation, Data61, CSIRO
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Assistant Professor of Management and Organizations, Northwestern University
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Taylor Reveley Research Professor and Professor of Law, Director, Digital Democracy Lab, William & Mary
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Lecturer in Law, University of Adelaide
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Senior Research Fellow, Allens Hub for Technology, Law & Innovation, and Senior Lecturer, School of Private & Commercial Law, UNSW Sydney
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Professor of Information Systems, Michigan State University
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Professor of Marketing and Everett W. Lord Distinguished Faculty Scholar, Boston University
