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人工智能社会的战略问题与应对措施

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  • 国家科技期刊平台
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人工智能技术的发展关系到社会的可持续发展与国家的国际竞争力.通过了解我国人工智能发展的历史路径,揭示具体的内容在社会发展中的变化过程,从社会性视角解释人工智能技术发展在现阶段遇到的问题,对理解和解决现阶段失业率持续上升问题有积极作用.采用文献法分析了我国目前在人工智能技术领域的发展格局中,存在政府疏于参与技术研发,导致人与技术形成对立的尴尬局面.对此,提出政府应在监管之外,组建智能团协同企业共同参与人工智能技术研发的观点,同时注重人工智能的全线人才培养与输出,以以人为本的战略理念开展人工智能技术的研发与应用.
Strategies and Countermeasures for AI Society:People Oriented Development Strategy
The development of artificial intelligence technology is related to the sustainable develop-ment of society and international competitiveness.By understanding the historical path of the devel-opment of artificial intelligence in China,specific changes in social development have been re-vealed,and the problems encountered in the development of artificial intelligence technology have been explained from a social perspective.It has a positive effect on understanding and solving the current problem of continuous increase in unemployment rate at this stage.The literature method has been applied to analyze the current development mode of artificial intelligence technology in China,and it has been found that it is facing the problem of being kidnapped by capital,which will lead to an awkward situation of opposition between humans and technology.In this regard,it is proposed that the government should form an intelligent team to collaborate with enterprises to participate in the research and development of artificial intelligence technology,in addition to its regulatory role.At the same time,attention should be paid to the cultivation and output of all talents in the field of artificial intelligence,and the strategic concept of people-oriented development and application of artificial intelligence technology should be implemented.

the 4th industrial revolutionartificial intelligenceartificial intelligence strategyartifi-cial intelligence technology strategy conferencepeople-orientedthe social principle of putting peo-ple first

王梓灼

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成都大学法学院,610106,成都

第 4 次产业革命 人工智能 人工智能战略 人工智能技术战略会议 以人为本的社会性原则

国家社会科学基金成都大学青年人才基金

20BSH0102281923017

2023

10.13990/j.issn1001-3679.2023.06.034

江西科学
江西省科学院

江西科学

影响因子：0.286
ISSN：1001-3679
年,卷(期)：2023.41(6)
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