The algorithm has become a new way of capturing reality automatically, and it demands a heightened ethical engagement with photos.
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Articles on Artificial intelligence (AI)
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Automated content moderation using algorithms are quick and cheaper. But, they’re not necessarily better than human beings. They are prone to errors and can impose bias in a systemic scale.
The age of ‘artificial intimacy’ is upon us. What does it mean for the way we love, have sex and build friendships?
Many other public bodies have flawed and outdated computer systems. How long before something else goes wrong?
A responsible approach to the use of artificial intelligence by government requires transparency. The Canadian government’s use of AI in making immigration decisions warrants further investigation.
Endearing and amusing, AI’s faltering attempts at flirting show how far computer-generated language has come.
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?
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.
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 of Integrative Biology & Computer Science and Engineering, Michigan State University
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Assistant Professor, Psychology, Concordia University
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Professor, Queensland University of Technology
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Professor of Computer Science and Director of the Art & AI Lab, Rutgers University
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James Martin Research Fellow, Future of Humanity Institute & Oxford Martin School, University of Oxford
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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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Research Assistant Professor of Industrial & Systems Engineering, University of Southern California
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Professor of Artificial Intelligence, University of Bath
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Professor in Computing and Information Systems, Edge Hill University
