Labor Ethics Study on the Employment Substitution Effect of AI - Based on the Perspective of Changes in Logistics Work

Author:

Chen Snow1,Wei Xinwan2,Jin Yuhan3,Wang Jing2,Ma Xuan2,Zhou E2,Deng Peihua2

Affiliation:

1. Kunming University of Science and Technology

2. Zhongnan University of Economics and Law

3. Huazhong University of Science and Technology

Abstract

Abstract Platform employers often have non-traditional labor relations, with labor flexibility and part-time work providing workers with a certain degree of freedom. However, the introduction of AI algorithms into these platforms has disrupted traditional workflows and altered work intensity, giving rise to the so-called "gig economy." This new economy has also brought with it a series of labor ethics issues, including the dispersion of employee rights, conflicts between labor and capital due to digital exploitation, shortened career paths, and mismatches between labor and contributions. This study employs structural equation modeling to investigate the impact of AI on labor ethics in flexible employment. Specifically, four variables are examined to assess the extent to which AI is being used to replace human labor. Labor ethics is evaluated through three dimensions, including labor alienation, labor relations, and job transfer. These dimensions are used to gauge changes in labor ethics. Ultimately, the study seeks to establish a structural equation model that sheds light on the labor ethics issues that arise as a result of the substitution of AI for human labor in flexible employment.

Publisher

Research Square Platform LLC

Reference19 articles.

1. Low-skill and high-skill automation;Acemoglu D;J Hum Capital,2018

2. Automation and new tasks: How technology displaces and reinstates labor;Acemoglu D;J Economic Perspect,2019

3. The race between man and machine: Implications of technology for growth, factor shares, and employment;Acemoglu D;Am Econ Rev,2018

4. The wrong kind of AI? AI and the future of labor demand;Acemoglu D;Camb J Reg Econ Soc,2020

5. Acemoglu D, Restrepo P (2020c) Unpacking skill bias: Automation and new tasks. AEA Papers and Proceedings, 110, 356–361

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