大学生对人工智能影响就业的预期与态度的实证研究
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  • 作者:聂晨 ; 张依
  • 关键词:人工智能 ; 就业 ; 大学生 ; 政策
  • 中文刊名:JRKR
  • 英文刊名:Modern Science
  • 机构:北京航空航天大学;
  • 出版日期:2019-04-20
  • 出版单位:今日科苑
  • 年:2019
  • 基金:北京航空航天大学第二批人文社科拔尖人才项目(YWF-19-BJ-W-75)阶段性成果
  • 语种:中文;
  • 页:JRKR201904015
  • 页数:14
  • CN:04
  • ISSN:11-4764/N
  • 分类号:38-51
摘要
近年来,各国际智库纷纷关注人工智能及其相关技术发展对就业的替代效应和收入效应在不同行业间的不均衡分布。然而,国内相关研究仍然较少。本文以大学生为目标群体,通过实证调查探讨了大学生群体对人工智能影响就业的预期和态度。研究发现,大学生群体对于人工智能对不同行业的影响和就业的选择在较大程度上符合智库的估算。同时,研究也反映出部分大学生群体对于金融等行业受人工智能冲击认识不足,就业选择与被消极影响部门重叠的情况。其中,受访大学生的性别,专业和对人工智能的了解程度与对人工智能促进就业的态度呈现出了显著相关的关系。最后根据调查结果,提出了短期和长期的政策建议。
        
引文
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