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2017 | 20 | 1 | 23-39

Article title

Automation, Education, Unemployment: A Scenario Analysis

Authors

Content

Title variants

PL
Automatyzacja, edukacja, bezrobocie. Analiza scenariuszy

Languages of publication

EN

Abstracts

PL
The article proposes a short term scenario analysis concerning the possible relations between automation, education, and unemployment. According to the author, the scenario analysis elaborated by the McKinsey Global Institute in 2013 underestimates the problem of technological unemployment and proposes an education model which is inadequate to face the challenges of 21st century disruptive technologies. New technological advances—as the automation of knowledge work—will also affect the jobs of highly educated workers. Therefore, policy makers will not avert the scenario of massive unemployment only by extending the study of math, science, and engineering. A better solution could be the establishment of a universal basic income, and the elaboration of an education model capable of stimulating creativity and the sense of belonging to a community.
PL
Artykuł przedstawia analizę krótkoterminowego scenariusza przyszłości odnośnie do możliwych relacji między automatyzacją, edukacją i bezrobociem. Zdaniem autora, scenariusz przedstawiony przez McKinsey Global Institute z roku 2013 nie docenia problemu bezrobocia wynikającego z postępu technologicznego i proponuje taki model edukacji, który w sposób nieadekwatny chce stawić czoła wyzwaniom, jakie przynoszą przełomowe technologie XXI wieku. Nowe osiągnięcia technologiczne – jak automatyzacja pracy umysłowej – będą wpływać na zatrudnienie wysoko wykwalifikowanych pracowników. Z tego powodu decydenci nie odwrócą scenariusza masowego bezrobocia wyłącznie dzięki rozbudowywaniu nauczania matematyki, nauki i inżynierii. Lepszym rozwiązaniem mogłoby być ustanowienie bezwarunkowego dochodu podstawowego oraz opracowanie takiego modelu edukacji, który stymulowałby kreatywność i zmysł przynależności do wspólnoty.

Year

Volume

20

Issue

1

Pages

23-39

Physical description

Contributors

References

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Document Type

Publication order reference

Identifiers

YADDA identifier

bwmeta1.element.desklight-b19c9175-9383-4d65-918e-501005653aa4
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