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"人工智能革命"是一场重要的技术变革,它不仅波及到了生产生活的各个方面,也影响到了经济学研究。相比于之前的历次技术进步,"人工智能革命"所引发的冲击更为巨大,其对经济学造成的影响也将更为广泛和深远。最近几年来,人工智能不仅成为了经济学研究的重要工具,也成为了经济学研究的重要议题,产生了大量的文献。本文对最近关于人工智能的经济学文献进行了梳理,对这一领域的重要研究进行了比较详细的介绍。希望这项整理工作可以为进一步的研究提供帮助。
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(1)其中,最有影响的会议有两次:一次是美国国民经济研究局(NBER)组织的“人工智能与经济学”研讨会,另一次是麻省理工学院组织的“人工智能与未来就业”研讨会。两次会议都有大量一线经济学家参与了讨论。
(1)Zeira[34]并没有给出这个直观结论,是由Aghion等[35]给出的。
(1)有研究表明,在一些情况下过度的自动化甚至会降低生产率[44]。
(1)这一观点被后来的不少研究所借鉴,出现了不少变体。例如,Agrawal等[63-64]在分析人工智能的影响时,就认为人工智能只能被用于预测行为,不能被用于判断,因而其对低技能劳动是替代的,而对高技能劳动是互补的。在这个基础上,几位研究者推导出了一系列结论。
(1)更多的预测结论可以参考Seamans和Raj[76]。
(1)关于算法合谋的更多探讨,可以参考陈永伟[101]的研究。
(2)关于这些问题的进一步探讨,可以参考陈永伟[102]的研究。
基本信息:
DOI:10.19653/j.cnki.dbcjdxxb.2018.03.002
中图分类号:F0;F49
引用信息:
[1]陈永伟.人工智能与经济学:近期文献的一个综述[J].东北财经大学学报,2018,No.117(03):6-21.DOI:10.19653/j.cnki.dbcjdxxb.2018.03.002.
2018-05-15
2018-05-15