E3S Web of Conferences (Jan 2021)

Taking AI Neural Network to Analyze Labor Rights and Labor Disputes

  • Liu Jia,
  • Yang Ying,
  • Xiao Bao-Yao,
  • Huang Zhi-Tao,
  • Nie Xiao-Hui,
  • Liu Wen-Jie,
  • Chang Shih-Feng

DOI
https://doi.org/10.1051/e3sconf/202129002028
Journal volume & issue
Vol. 290
p. 02028

Abstract

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Exploring labor rights on the cognition of relationship with labor dispute is not only from the direct role of workers and HR, but also from the fight for labor rights of college students. However, many labor disputes in labor process are mainly related to labor rights. Therefore, we explore the relationship between labor rights and labor disputes, use neural network analysis and questionnaire survey method, and execute AI combining with big data analysis tools to collect first-hand data from two aspects of college students, workers in the industry, HR and labor dispatch personnel. Finally, the results show that: (1) there is a negative correlation between social security and labor disputes; (2) there is a negative correlation between labor safety and labor disputes; (3) there is a negative correlation between wages and labor disputes; (4) there is a negative correlation between labor contract signing and labor disputes; (5) there is a positive correlation between rights awareness and labor disputes.