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The Impact of Artificial Intelligence on Work and Human Value: Views from Social Researchers

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Knowledge Management in Organizations (KMO 2021)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1438))

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Abstract

The rise of artificial intelligence (AI) and related new technologies have been widely discussed in recent years, especially on its benefits and threats to society. This study aims to explore the impact of AI on work and human value at different levels of AI capability. Adopting a qualitative approach, we conducted a focus group discussion with six scholars who have AI research experience in different social disciplines and in various global regions. Four main topics were discussed in the focus group, which are: (1) attitude toward AI, (2) types of businesses, industries, or workers that benefit or are threatened the most by AI, (3) willingness to work with a robot with different levels of intelligence, and (4) how to find human’s value and get prepared for future workplace. The discussion was recorded under the consent of participants and transcribed verbatim. ATLAS.ti version 8 software was used for the textual data analysis. The findings reveal that scholars: (1) are optimistic toward AI in general, (2) believe that most industries will benefit from AI, (3) are divided in attitude toward robots with empathetic intelligence, (4) argue that humans need to get prepared for the future workplace. Implications and future research suggestions are provided.

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Acknowledgement

This research was supported by the Ministry of Science and Technology of Taiwan, ROC (MOST 109-2634-F-003-008 -).

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Correspondence to Wei-Wen Chang .

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Yeh, CC.R., Chang, WW., Wong, C.C. (2021). The Impact of Artificial Intelligence on Work and Human Value: Views from Social Researchers. In: Uden, L., Ting, IH., Wang, K. (eds) Knowledge Management in Organizations. KMO 2021. Communications in Computer and Information Science, vol 1438. Springer, Cham. https://doi.org/10.1007/978-3-030-81635-3_34

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  • DOI: https://doi.org/10.1007/978-3-030-81635-3_34

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-030-81635-3

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