The Industrial Revolution led to centuries of social and economic upheaval. Are economists telling us not to worry about workplace automation because things will be better in a couple hundred years?
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Articles on Automation
Displaying 101 - 120 of 158 articles
Rather than fret about how many jobs future technologies will destroy, we should focus on how to shape them so that they complement the workforce of tomorrow.
Self-driving cars and drones have some lessons to learn from the experience of ships and planes in switching to autopilot.
Australia’s Chief Scientist Alan Finkel says while it’s possible to build robots to take over jobs – including his own – humanity still has the edge over machines.
Robo-advice might prove most useful to those who need it the most, making them feel more competent and in control.
Self-driving vehicles will need to communicate and work together.
Amazon paid a premium to snap up the upscale grocery chain, so we asked an economist to help us better understand the deal and what it means.
Rethinking work is crucial for industrialised and emerging economies, where job losses are being felt even in the presence of substantial, although diminishing, economic growth.
A universal basic income would enable people to embrace the gig economy and give them greater leverage in the jobs they choose.
Today, the U.S. is leading the robotics revolution. But without timely investment, China will overtake us, and could permanently put Americans out of work.
What do we need to learn today to work with the robots of tomorrow?
Robots writing stories? It’s happening at a newsroom near you – and many journalists aren’t thrilled.
How can you prepare for the coming AI revolution? Here’s a handy survival guide.
With university graduates finding it harder to find jobs, questions have been raised about the merits of a typical tertiary qualification.
Elon Musk has suggested we merge with machines so we’re not replaced by them. But that might only delay the inevitable.
The answer to job losses is not economic protectionism, but a strengthening of workers’ rights.
The value of machine learning is not only that it is more accurate than humans. It is also cheaper and more consistent in its diagnoses.
From the discovery of gravitational waves, to the Pokémon Go phenomenon to the Census debacle, it’s been a big year in science and technology.
Young Australian jobseekers are facing a difficult future due to the loss of many traditional entry-level positions to automation. A solution may lie in bold policy ideas.
Driverless cars are the future, right? Wait. While things would be simple if our roads were 100% driverless, getting there is anything but. And planning for roads shared by robots and humans is hard.
Top contributors
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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 Technology and Organisation, University of Manchester
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Distinguished Visiting Professor of Economics, University of Johannesburg
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Professor of Human Factors, Embry-Riddle Aeronautical University
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Associate Professor, Human Systems Labs, University of Windsor
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Professor of Orthopaedic Research, Queensland University of Technology
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Professor of AI, Research Group Leader, UNSW Sydney
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PhD in machine ethics, University of Canterbury
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Senior Research Fellow and Deputy Director, Centre for Biomedical Technologies, Queensland University of Technology
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Chair of ARC Centre of Excellence for Quantum Biotechnology, The University of Queensland
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Professor of Computer Science, Rice University
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Principal Research Scientist, CSIRO, CSIRO
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The University of Melbourne
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Fellow of the Faculty of Engineering and Information Technology, University of Technology Sydney
