贵州财经大学学报

贵州财经大学学报 ›› 2024 ›› Issue (06): 89-99.

• 人工智能 • 上一篇    下一篇

消费市场人工智能社会责任协同治理研究:驱动模型、机制与策略

沈鹏熠1, 彭德辉1, 刘漫2   

  1. 1. 江西财经大学 工商管理学院 江西 南昌 330013;
    2. 江西财经大学 医院, 江西 南昌 330013
  • 收稿日期:2024-03-02 出版日期:2024-11-15 发布日期:2024-11-22
  • 作者简介:沈鹏熠(1980—),男,湖南临湘人,管理学博士,江西财经大学工商管理学院教授,博士生导师,研究方向为人工智能营销和服务营销;彭德辉(1983—),男,安徽淮南人,江西财经大学工商管理学院博士研究生,研究方向为市场营销;刘漫(1983—),女,湖南岳阳人,江西财经大学医院主管护师,研究方向为健康营销和服务。
  • 基金资助:
    国家自然科学基金项目"服务场景中人工智能如何影响消费者幸福感:基于社会认知理论和自我决定理论双重视角"(72262016);教育部人文社会科学研究项目"人工智能聊天机器人角色对顾客情感依恋的影响研究"(23YJA630132);江西省高等学校教学改革研究重点项目"江西本科高校现代产业学院产教融合协同育人模式的研究与探索"(JXJG-23-4-2)。

Research on the collaborative governance of artificial intelligence social responsibility in the consumer market: Driving models, mechanisms, and strategies

SHEN Pengyi1, PENG Dehui1, LIU Man2   

  1. 1. School of Business Administration, Jiangxi University of Finance and Economics, Nanchang, Jiangxi, 330013, China;
    2. Hospital, Jiangxi University of Finance and Economics, Nanchang, Jiangxi 330013, China
  • Received:2024-03-02 Online:2024-11-15 Published:2024-11-22

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摘要： 文章首先从内外部驱动因素、主被动参与协同和驱动结果三个方面提出消费市场人工智能社会责任协同治理驱动模型,并将感知AI可信度作为驱动结果;其次,依据协同治理理论,提出消费市场人工智能社会责任的外部协同治理机制和内部协同治理机制;最后,依据战略性社会责任理论,从社会、企业、个体三个方面提出消费市场人工智能社会责任协同治理策略。研究结果不仅有利于促进人工智能技术在消费市场的科学和合理应用,还为进一步推进人工智能社会责任研究提供了理论基础。

关键词: 消费市场, 人工智能, 社会责任, 协同治理

Abstract: This paper first proposes a driving model for artificial intelligence (AI) social responsibility collaborative governance in the consumer market from three aspects: internal and external driving factors, active and passive participation in collaboration, and driving results, and uses perceived AI credibility as the driving result; Secondly, based on the theory of collaborative governance, proposing external and internal collaborative governance mechanisms for the social responsibility of artificial intelligence in the consumer market; Finally, based on the theory of strategic social responsibility, the collaborative governance strategies for AI social responsibility in the consumer market is proposed from three aspects: society, enterprises and individuals. The research results are not only beneficial for promoting the scientific and rational application of AI technology in the consumer market, but also provide a theoretical basis for further promoting research on AI social responsibility.

Key words: consumption market, AI, social responsibility, collaborative governance

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