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人工智能促进共同富裕的理论逻辑、现实难题和实现路径

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发挥人工智能促进共同富裕的正向效应,并避免和化解其负面影响,对于顺利实现共同富裕具有重要意义。从理论逻辑上看,人工智能在多个方面对共同富裕有促进作用,主要包括稳定劳动收入份额、助推低技能劳动力共享经济增长的成果、为低技能劳动力创造新工作岗位以及对劳动力供给和需求的不对称影响等。但是,这些理论逻辑的落地还存在着缺乏人工智能供给端、需求端和分配端的整体发展规划,人工智能技术提高生产率的作用不明显,高等教育规模和结构不够合理,低技能劳动力缺乏人工智能技术培训渠道,数字基础设施建设存在短板等问题。为此,应该科学制定人工智能发展战略、推动人工智能技术在经济中的应用及扩散推广、建立与人工智能人才需求相匹配的教育培训体系、建立专门针对低技能劳动力的人工智能技术培训体系、提高欠发达地区和农村地区数字基础设施质量,以人工智能促进共同富裕的实现。
Theoretical Logic,Practical Problems,and Implementation Paths of Artificial Intelligence Promoting Common Prosperity
How to leverage the positive effect of artificial intelligence in promoting common prosperity,and avoid and resolve its negative effects is of great significance for achieving common prosperity smoothly.From a theoretical logic perspective,artificial intelli-gence has a promoting effect on common prosperity in multiple aspects,mainly including stabilizing the share of labor income,promo-ting the sharing of economic growth results among low skilled labor,creating new job opportunities for low skilled labor,and the asym-metric impact on labor supply and demand.However,the implementation of these theoretical logic still faces problems such as lack of overall development plans for the supply,demand,and distribution ends of artificial intelligence,unclear role of artificial intelligence technology in improving productivity,unreasonable scale and structure of higher education,lack of training channels for low skilled la-bor,and shortcomings in digital infrastructure construction.Therefore,it is necessary to scientifically formulate the development strate-gy of artificial intelligence,promote the application and diffusion of artificial intelligence technology in the economy,establish an edu-cation and training system that matches the demand for artificial intelligence talents,establish a specialized artificial intelligence tech-nology training system for low skilled labor,improve the quality of digital infrastructure in underdeveloped and rural areas,and use arti-ficial intelligence to promote the realization of common prosperity.

artificial intelligencecommon prosperitylabor income sharelow-skilled labor forcedevelopment planning

杨天宇

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中国人民大学应用经济学院(北京 100872)

人工智能 共同富裕 劳动收入份额 低技能劳动力 发展规划

教育部人文社会科学研究规划基金项目

23YJA790093

2024

中州学刊
河南省社会科学院

中州学刊

CSTPCDCSSCICHSSCD北大核心
影响因子:0.854
ISSN:1003-0751
年,卷(期):2024.(7)