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International Journal of Automation and Computing 2018, Vol. 15 Issue (5) :637-642    DOI: 10.1007/s11633-018-1127-x
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Expert and Non-expert Opinion About Technological Unemployment
Toby Walsh1,2,3
1. University of New South Wales, Sydney, Australia;
2. Data61, Locked Bag 6016, UNSW, Kensington, Sydney, Australia;
3. Technical University of Berlin, Berlin, Germany
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Abstract There is significant concern that technological advances, especially in robotics and artificial intelligence (AI), could lead to high levels of unemployment in the coming decades. Studies have estimated that around half of all current jobs are at risk of automation. To look into this issue in more depth, we surveyed experts in robotics and AI about the risk, and compared their views with those of non-experts. Whilst the experts predicted a significant number of occupations were at risk of automation in the next two decades, they were more cautious than people outside the field in predicting occupations at risk. Their predictions were consistent with their estimates for when computers might be expected to reach human level performance across a wide range of skills. These estimates were typically decades later than those of the non-experts. Technological barriers may therefore provide society with more time to prepare for an automated future than the public fear. In addition, public expectations may need to be dampened about the speed of progress to be expected in robotics and AI.
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KeywordsSurvey   technological unemployment   artificial intelligence (AI)     
Received: 2017-09-23; published: 2017-09-23
Corresponding Authors: Toby Walsh     Email: tw@cse.unsw.edu.au
About author: Toby Walsh has won the Humboldt Research Award and the NSW Premier's Prize for Excellence in Engineering and ICT. E-mail:tw@cse.unsw.edu.au (Corresponding author)ORCID iD:0000-0003-2998-8668
Cite this article:   
Toby Walsh. Expert and Non-expert Opinion About Technological Unemployment[J]. International Journal of Automation and Computing , vol. 15, no. 5, pp. 637-642, 2018.
URL:  
http://www.ijac.net/EN/10.1007/s11633-018-1127-x      或     http://www.ijac.net/EN/Y2018/V15/I5/637
 
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