Artificial intelligence is likely to reinforce or even amplify gender inequality because the data used to train machines is biased.
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Artículos sobre Artificial intelligence (AI)
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Machine learning isn’t reliable enough yet – and it’s short-sighted to only train this detection tech on jihadi content.
Canada has a clear choice. Either it embraces the potential of being a leader in responsible AI, or it risks legitimating a race to the bottom where ethics, inequity and justice are absent.
When we include someone (or something) in our moral circle we feel a sense of moral obligation for their treatment. But the factors determining who is in or out are more complicated than you may think.
Science fiction has a more important job to do – it allows us to see ourselves in a new light.
Smartphones are new tools for body rehabilitation, sports training and motor development.
Predicted job losses from the rise of the robots vary widely. So rather than worry about robots taking over, we should learn to work with them and use them as intelligent tools.
We should be worried about the development of social skills in a world where everyone can have their ‘perfect’ AI friend.
Apple’s closed system may be its undoing in the smart home market.
By surrendering to technology are humans sleepwalking into a future where free will is less and less of an option?
As tensions between the US and Russia escalate, both sides are developing technological capabilities, including artificial intelligence that could be used in conflict.
Next generation finance bots are incredibly sophisticated.
People prefer human experts even when they’re wrong.
There are more robots than ever in the operating room – but that’s led to fewer opportunities for surgical trainees. Now, some new doctors are teaching themselves in secret.
Artificial intelligence and automation are bringing changes to higher education that will challenge, and may even threaten, traditional universities.
Developing country governments need to give attention to the risks associated with new technologies and develop context-specific responses.
We give over control of our lives every day and trust other humans to make ethical decisions. But soon robots will make these decisions for us. Will they be ethical or is it just a numbers game?
Does big data threaten how humans explore the natural world? We need to protect our impulses to observe, compare, play, discover and love, no matter what technological capabilities are available.
Much like the fictitious Victor Frankenstein in Mary Shelley’s novel, more and more scientists are running away from their real-life creations.
What if Santa’s job is one of those taken over by an intelligent machine? Would a robot Santa begin to question its purpose and the existence of those it’s designed to serve at Christmas?
Principales colaboradores
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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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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 Philosophy and Director, Applied Ethics Center, UMass Boston
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Adjunct Lecturer in Public Policy, Harvard Kennedy School
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Assistant Professor, Psychology, Concordia University
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Senior Lecturer in Visual Communication & Digital Media, RMIT University
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James Martin Research Fellow, Future of Humanity Institute & Oxford Martin School, University of Oxford
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Lecturer in Business Analytics, University of Sydney
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Professor of Computer Science and Director of the Art & AI Lab, Rutgers University
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Research Assistant Professor of Industrial & Systems Engineering, University of Southern California
