The Federal Trade Commission is rattling its saber at the technology industry over growing public concern about biased AI algorithms. Can the agency back up its threats?
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Articles on Artificial intelligence (AI)
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The researchers used machine learning to study the 2,000-year-old document.
The strong new laws will ban AI applications believed to violate EU citizens’ fundamental rights.
Emotion recognition technology raises questions about bias, privacy and mass surveillance.
Virtual assistants and robots are frequently given female attributes. To curb the massive use of such gendering in AI, we need to better understand the deep roots of this phenomenon.
Elon Musk’s brain-machine interface technology could bring humans and computers closer together than ever before, and herald a new frontier in healthcare
Artificial intelligence is probably already helping many students write essays. Schools and unis need to start talking about the ethical implications now.
Humans often stumble when they encounter the unexpected, but they tend to adapt and move on. Artificial intelligence systems, not so much.
The public holds self-driving cars to incredibly high safety standards – and we’re working to meet them.
The new Alphabet Workers Union is making clear that changes must be put in place, both in education and on the job, to allow engineers to start taking responsibility for the social impact of their work.
Even the Oxford English Dictionary contains traces of sexism – it’s little wonder that our translation tools do too.
The CCTV ecosystem is evolving – but it’s still a sparse patchwork with limited efficacy in reducing or prosecuting crime.
Using a simulation, we found scenarios where AI regulations could be most effective.
While AI is intended to help us, it tempts us to abandon judgment and moral responsibility. And without a proper understanding of how it works, we cannot circumvent its negative effects.
This robot can learn how to traverse unforeseen terrain by changing the length of its legs.
Google is using artificial intelligence to collect and process user data in a way that produces more nuanced and detailed information about our activities but addresses privacy concerns.
It would be naïve to think that the rise of science and technology hasn’t made it more difficult to understand the problems we face as citizens
Not everything that was painted can be taken as fact.
Some AI systems make faulty assumptions about women and nonwhite men, which can lead to misdiagnoses. Overcoming this bias takes legal, regulatory and technical fixes.
By letting machines recommend movies and decide whom to hire, humans are losing their unpredictable nature – and possibly the ability to make everyday judgments, as well.
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Top contributors
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Professor of AI, Research Group Leader, UNSW Sydney
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Senior Lecturer in Applied Ethics & CyberSecurity, Griffith University
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Professor in Robotics, Queensland University of Technology
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Professor of Information Systems, Michigan State University
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PhD in machine ethics, University of Canterbury
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Assistant Professor, Psychology, Concordia University
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Professor, Queensland University of Technology
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Assistant Professor of Integrative Biology & Computer Science and Engineering, Michigan State University
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Professor of Computer Science and Director of the Art & AI Lab, Rutgers University
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Professor of Philosophy and Director, Applied Ethics Center, UMass Boston
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Adjunct Lecturer in Public Policy, Harvard Kennedy School
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James Martin Research Fellow, Future of Humanity Institute & Oxford Martin School, University of Oxford
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Professor of Community Information, University of Michigan
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Professor of Cognitive Neuroscience and Director of the Sheffield Robotics Institute, University of Sheffield
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Professor of Artificial Intelligence, University of Bath
