Masters Theses

Abstract

"Artificial Intelligence (AI) will result in job replacement and job elimination. Some AI technologies, such as self-driving vehicles, have the potential to disrupt existing industries. Self-driving trucks may replace the 3.5 million truck drivers in the US. Scholars at Oxford University estimated that no less than 47% of American jobs and 54% of those in Europe are at a high risk of being taken over by machines. Routine, repetitive, and predictable jobs are expected to be automated (Siau, 2018). Although new jobs will be created, the unemployment rate may go up in the short term and the emergence of a “useless class” (i.e., permanently jobless) (Harari, 2016) is a real possibility. PwC predicted that about seven million existing jobs could be displaced by AI from 2017-2037, but about 7.2 million jobs could be created. Many of these “expected” new jobs, however, are not in existence yet. The impact of AI on human mental well-being is a grave concern to many.

Previous studies on joblessness are not related to AI-induced joblessness. This research studies the differences between the impact of joblessness induced by AI compared to other reasons. Furthermore, this study would answer three questions: 1) What is the difference between the impact of temporary joblessness and that of permanent joblessness? 2) How would temporary joblessness induced by AI affect human mental well-being? 3) How would permanent joblessness induced by AI affect human mental well-being"-- Abstract, p. iii

Advisor(s)

Siau, Keng, 1964-

Committee Member(s)

Nah, Fiona Fui-Hoon, 1966-
Chen, Langtao

Department(s)

Business and Information Technology

Degree Name

M.S. in Information Science and Technology

Publisher

Missouri University of Science and Technology

Publication Date

Fall 2022

Pagination

ix, 71 pages

Note about bibliography

Includes_bibliographical_references_(pages 66-70)

Rights

© 2019 Weiyu Wang, All rights reserved

Document Type

Thesis - Open Access

File Type

text

Language

English

Thesis Number

T 12182

Electronic OCLC #

1423791383

Download

Share

 
COinS