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人工智能重塑就业的未来趋势、特征及对策 被引量:9

Research on the Future Trend, Characteristics and Countermeasures of Artificial Intelligence to Reshape Employment
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摘要 在物联网、大数据、云计算等深度融合和推动下,人工智能呈现加速发展态势,对就业产生了深远影响。随着人工智能的不断发展,人类独立工作的空间将会大大压缩,"人机合作"将成为未来的主要就业趋势。从比较优势角度来看,这种方式最能发挥各自特长,且相互赋能。人机合作具有互补性、创造性和溢出性等特征,且人机合作的"双向赋能"将会破解"缺失的中间地带",不仅能弥补机器模仿人类思维能力的不足,而且还会增强人类改造世界的能力。人工智能重塑就业,就是重构机器和人的新型伙伴关系,实现机器和人的融合发展。未来,人和机器可发挥各自比较优势,推动人机合作向更高阶段迈进,产生前所未有的生产变革,从而实现高质量就业。 With the deep integration and promotion of the internet,Big Data and Cloud Computing,Artificial Intelligence present an accelerated development trend,which has a far-reaching impact on employment.The continuous progress of Artificial Intelligence will greatly reduce the space for humans to work independently."Man-machine cooperation"will become the main employment trend of humans in the future.From the perspective of comparative advantage,this way can give full play to their own strengths and endow each other.Human-machine cooperation has the characteristics of complementarity,creativity and spillover,and the"two-way empowerment"of human-machine cooperation will break the"missing middle zone",not only make up for the lack of machine’s ability to imitate human thinking,but also enhance human’s ability to transform the world.Artificial intelligence reshapes employment,which is to reconstruct the new partnership between machine and human and realize the integrated development of machine and human.In the future,Human and machine will give full play to their comparative advantages,promote the human-machine cooperation to a higher stage,produce unprecedented production changes,and achieve high-quality employment.
作者 周世军 赵丹丹 ZHOU Shi-jun;ZHAO Dan-dan(School of Business,Anhui University of Technology,Ma’anshan 243032,China;Anhui Institute of Innovation Driven Development,Anhui University of Technology,Ma’anshan 243032,China)
出处 《经济体制改革》 CSSCI 北大核心 2022年第1期188-194,共7页 Reform of Economic System
基金 国家社会科学基金一般项目“人工智能对就业的‘双刃剑’影响及其对策研究”(20BJL143)。
关键词 人工智能 就业 人机合作 双向赋能 artificial intelligence employment man-machine cooperation two-way empowerment
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