华东师范大学学报(哲学社会科学版) ›› 2023, Vol. 55 ›› Issue (2): 61-69.doi: 10.16382/j.cnki.1000-5579.2023.02.005

• 重启科技与人文对话 • 上一篇    下一篇

劝导式技术的伦理审视

成素梅   

  • 接受日期:2023-02-16 出版日期:2023-03-15 发布日期:2023-03-24
  • 作者简介:成素梅,上海社会科学院哲学研究所研究员(上海,200025)
  • 基金资助:
    国家社科基金重大项目“负责任的人工智能及其实践的哲学研究”(项目编号:21&ZD063)

An Ethical Examination of Persuasive Technology

Su-mei CHENG   

  • Accepted:2023-02-16 Online:2023-03-15 Published:2023-03-24

摘要:

劝导式技术属于新的文理交叉领域,意指能够影响乃至改变人的观念、态度或行为的人机交互技术,已经被广泛应用于我们生活的方方面面,并取得了明显的社会效果。但是,技术劝导产品的新颖性、隐藏性、多态性等特征会掩盖劝导意图、限定用户的自由选择权,也会使用户处于不利地位,使“成瘾”变成新的“鸦片”。避免这些伦理问题的发生,需要对劝导式技术的研发与应用进行全过程的伦理审查。由数据驱动的算法系统的随机性、不确定性等技术性“漏洞”及其多重能动者会对责任归属等提出挑战,应对这些挑战需要超越理论伦理与应用伦理二分的观念,拓展责任概念的语义和语用范围,从被动负责的技术伦理转向积极担当的技术伦理。

关键词: 人机交互, 数据驱动的算法系统, 劝导, 问责, 有担当的技术伦理

Abstract:

Belonging to the new interdisciplinary field of liberal arts and sciences, persuasive technology refers to the technology based on human-computer interaction which may affect and even change the ideas, attitudes or behaviors of human beings. It has been applied widely in many areas of our life and has gained outstanding social effects. However, the properties such as novelty, hiddenness and polymorphism of persuasive technology may have covered the persuasive intents and the limitation on the choice of users, which will put users in a disadvantageous position to be “addicted” to the new “opium”. In order to avoid these ethical problems, we must scrutinize closely and thoroughly the whole process of persuasive technology from the ethical perspective. Technical “bugs” such as stochasticity and indeterminacy of the data-driven algorithmic system and its many moral agents may cause ethical challenges of the attribution of responsibility. We need to go beyond the dichotomy between theoretic ethics and applied ethics, widen the semantic and pragmatic scope of the concept of responsibility and turn from passive responsible ethics of technology to active responsible ethics of technology, in order to solve these challenges.

Key words: human-computer interaction, data-driven algorithmic system, persuasion, accountability, responsible ethics of technology