国际中文开源期刊平台

大众对人工智能道德担忧的双层结构分析——基于扎根理论的探索

A Bilevel Structure Analysis of Popular Moral Concerns about Artificial Intelligence: An Exploration Based on the Grounded Theory

中国心理学前沿 / 2022,4(8)：886-897 / 2022-08-24 358 308

查看全文 下载文档

• 作者： 王云霄      龙帅      黄译萱      陈华     
• 单位：

  西南交通大学心理研究与咨询中心，成都

• 关键词： 人工智能；道德担忧；道德规则；扎根理论
• AI; Moral concern; Ethical norms; Grounded theory
• 摘要： 人工智能的道德系统是动态的，不断更新的，以社会共同的道德担忧为基础来构建道德模型是重要研究方向，本文旨在探究大众对于人工智能的道德担忧模型。运用扎根理论对17个访谈资料进行分析，共形成23个范畴和8个主范畴。从主范畴的结构关系可以得出大众对人工智能道德担忧模型由两个层次组成，即因果层和影响层。其中因果层由道德认知和争议点构成的，争议点是根本原因，道德认知是直接原因；影响层由道德规范和争议点构成的，通过中介和调节来影响道德担忧。研究提供了减少大众对人工智能道德担忧的具体路径。
• The moral system of artificial intelligence is dynamic and constantly updated. It is an important research direction to build a moral model based on the common moral concerns of the society. This paper aims to explore the public’s moral concern model for artificial intelligence. Using grounded theory to analyze 17 interview data, 23 categories and 8 main categories were formed. From the structural relationship of the main categories, it can be concluded that the public’s moral concern model for artificial intelligence consists of two layers, namely the causal layer and the influence layer. The causal layer is composed of moral cognition and controversial points, the controversial point is the root cause, and the moral cognition is the direct cause; the influence layer is composed of moral norms and controversial points, and affects moral concerns through mediation and adjustment. Research offers concrete paths to reduce public concerns about the ethics of AI.
• DOI： https://doi.org/10.35534/pc.0408107
• 引用： 王云霄，龙帅，黄译萱，等．大众对人工智能道德担忧的双层结构分析——基于扎根理论的探索［J］．中国心理学前沿，2022，4（8）：886-897．