中国饲料2024,Issue(4) :165-168.DOI:10.15906/j.cnki.cn11-2975/s.20240442

人工智能时代饲料企业社会责任的履行及优化路径

Implementation and optimization path of corporate social responsibility for feed enterprises in the Era of artificial intelligence

李雨益 杨国强
中国饲料2024,Issue(4) :165-168.DOI:10.15906/j.cnki.cn11-2975/s.20240442

人工智能时代饲料企业社会责任的履行及优化路径

Implementation and optimization path of corporate social responsibility for feed enterprises in the Era of artificial intelligence

李雨益 1杨国强1
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作者信息

  • 1. 西南政法大学 经济法学院,重庆 401120
  • 折叠

摘要

随着人工智能技术的快速发展和应用,各产业都迎来了巨大变革,饲料企业也不例外,正面临着前所未有的挑战和机遇.在人工智能时代,饲料企业如何履行社会责任以顺应时代潮流,进而实现可持续发展是值得关注的议题.文章首先分析了人工智能时代饲料企业在生产研发环节和销售管理环节存在的社会责任履行困境;其次,针对上述困境,根据人工智能时代饲料企业的特点提出相应的优化路径;最后,希望通过以上措施促进饲料企业在人工智能时代获得发展机遇的同时履行社会责任.

Abstract

With the rapid development and application of artificial intelligence technology,all industries have ushered in great changes,and feed companies are no exception,which are facing unprecedented challenges and opportunities.In the era of artificial intelligence,how feed enterprises fulfill their social responsibilities to conform to the trend of the times and achieve sustainable development is a topic worthy of attention.Firstly,the dilemma of social responsibility fulfillment in the R&D,production and sales management links of feed enterprises in the era of artificial intelligence is analyzed.Secondly,in view of the above responsibility performance dilemma,according to the characteristics of feed enterprises in the era of artificial intelligence,the optimization path of corresponding responsibility performance is proposed.Finally,it is hoped that through the above measures,feed enterprises will be promoted to fulfill their social responsibilities while gaining development opportunities in the era of artificial intelligence.

关键词

饲料企业/企业社会责任/人工智能/可持续发展

Key words

feed enterprises/corporate social responsibility/artificial intelligence/sustainable development

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基金项目

重庆市研究生科研创新项目(CYB22171)

西南政法大学研究生科研创新项目(2022XZXS-008)

出版年

2024
中国饲料
中国饲料工业协会

中国饲料

北大核心
影响因子:0.577
ISSN:1004-3314
参考文献量9
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