TY - GEN
T1 - Will Robots Take My Job? Exploring the Effect of Artificial Intelligence in Taiwan’s Labor Market
AU - Yeh, Chu Chen Rosa
AU - Wong, Cze Chiun
AU - Liang, Chia Chun Amanda
AU - Chang, Wei Wen
N1 - Publisher Copyright:
© 2021, Springer Nature Switzerland AG.
PY - 2021
Y1 - 2021
N2 - The rise of artificial intelligence (AI) and related new technologies have received a lot of attention from the public. In Taiwan, the government and enterprises are also making efforts to develop these technologies. Against this backdrop, and with the massive unemployment that resulted from automation in the third industrial revolution, human workers are anxious about their jobs being replaced by smart robots. On the contrary, many scholars hold a positive view and suggest that technologies augment and enhance human capabilities. Therefore, in order to better understand the present situation in Taiwan, this research was designed to explore the relationship of AI and jobs by adopting a qualitative approach for data collection. Two sessions of focus group discussion were conducted with eight practitioners from different industries, in addition to three in-depth interviews with executive-level managers. All participants have rich knowledge and experience in AI development or implementation. The discussions mainly focused on: (1) examples of the impact of AI and related new technologies on the labor market, (2) the competency of future talents, and (3) suggestions for policymakers. The discussions were recorded with the consent of the participants and transcribed into textual data for further analysis. The research adopted ATLAS.ti version 8 for data analysis. The findings revealed: (1) most practitioners consider AI as a tool; (2) task replacement does happen but workers gain more benefits; (3) new jobs are created as technologies are being developed and utilized. Most participants hold an affirmative attitude toward AI and new technologies. Suggestions for the government and organizations have also been discussed.
AB - The rise of artificial intelligence (AI) and related new technologies have received a lot of attention from the public. In Taiwan, the government and enterprises are also making efforts to develop these technologies. Against this backdrop, and with the massive unemployment that resulted from automation in the third industrial revolution, human workers are anxious about their jobs being replaced by smart robots. On the contrary, many scholars hold a positive view and suggest that technologies augment and enhance human capabilities. Therefore, in order to better understand the present situation in Taiwan, this research was designed to explore the relationship of AI and jobs by adopting a qualitative approach for data collection. Two sessions of focus group discussion were conducted with eight practitioners from different industries, in addition to three in-depth interviews with executive-level managers. All participants have rich knowledge and experience in AI development or implementation. The discussions mainly focused on: (1) examples of the impact of AI and related new technologies on the labor market, (2) the competency of future talents, and (3) suggestions for policymakers. The discussions were recorded with the consent of the participants and transcribed into textual data for further analysis. The research adopted ATLAS.ti version 8 for data analysis. The findings revealed: (1) most practitioners consider AI as a tool; (2) task replacement does happen but workers gain more benefits; (3) new jobs are created as technologies are being developed and utilized. Most participants hold an affirmative attitude toward AI and new technologies. Suggestions for the government and organizations have also been discussed.
KW - Artificial intelligence
KW - Labor market
KW - Qualitative study
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U2 - 10.1007/978-3-030-81635-3_36
DO - 10.1007/978-3-030-81635-3_36
M3 - Conference contribution
AN - SCOPUS:85113451103
SN - 9783030816346
T3 - Communications in Computer and Information Science
SP - 444
EP - 456
BT - Knowledge Management in Organizations - 15th International Conference, KMO 2021, Proceedings
A2 - Uden, Lorna
A2 - Ting, I-Hsien
A2 - Wang, Kai
PB - Springer Science and Business Media Deutschland GmbH
T2 - 15th International Conference on Knowledge Management in Organizations, KMO 2021
Y2 - 20 July 2021 through 22 July 2021
ER -