Artificial Intelligence, Jobs and the Future of Work: Racing with the Machines
Bruun Edvard P.G. () and
Duka Alban
Additional contact information
Bruun Edvard P.G.: Arup Canada Inc., Building Structures, 2 Bloor Street EastToronto, Canada
Duka Alban: Goethe-Universität, Graduate School of Economics, Frankfurt am Main, Germany
Basic Income Studies, 2018, vol. 13, issue 2, 15
Abstract:
Artificial intelligence is rapidly entering our daily lives in the form of driverless cars, automated online assistants and virtual reality experiences. In so doing, AI has already substituted human employment in areas that were previously thought to be uncomputerizable. Based on current trends, the technological displacement of labor is predicted to be significant in the future – if left unchecked this will lead to catastrophic societal unemployment levels. This paper presents a means to mitigate future technological unemployment through the introduction of a Basic Income scheme, accompanied by reforms in school curricula and retraining programs. Our proposal argues that such a scheme can be funded by a special tax on those industries that make use of robotic labour; it includes a practical roadmap that would see a government take this proposal from the conceptual phase and implement it nationwide in the span of one decade.
Keywords: artificial intelligence; technological unemployment; unconditional universal basic income; retraining programs (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://doi.org/10.1515/bis-2018-0018 (text/html)
For access to full text, subscription to the journal or payment for the individual article is required.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:bpj:bistud:v:13:y:2018:i:2:p:15:n:6
Ordering information: This journal article can be ordered from
https://www.degruyter.com/journal/key/bis/html
DOI: 10.1515/bis-2018-0018
Access Statistics for this article
Basic Income Studies is currently edited by Anne-Louise Haagh and Michael W. Howard
More articles in Basic Income Studies from De Gruyter
Bibliographic data for series maintained by Peter Golla ().