Yu Liheng, Yu Zhonggen
School of Engineering, University of Birmingham, Edgbaston, Birmingham, United Kingdom.
Faculty of Foreign Studies, Beijing Language and Culture University, Beijing, China.
Front Psychol. 2023 Mar 9;14:1061778. doi: 10.3389/fpsyg.2023.1061778. eCollection 2023.
The new decade has been witnessing the wide acceptance of artificial intelligence (AI) in education, followed by serious concerns about its ethics. This study examined the essence and principles of AI ethics used in education, as well as the bibliometric analysis of AI ethics for educational purposes. The clustering techniques of VOSviewer ( = 880) led the author to reveal the top 10 authors, sources, organizations, and countries in the research of AI ethics in education. The analysis of clustering solution through CitNetExplorer ( = 841) concluded that the essence of AI ethics for educational purposes included deontology, utilitarianism, and virtue, while the principles of AI ethics in education included transparency, justice, fairness, equity, non-maleficence, responsibility, and privacy. Future research could consider the influence of AI interpretability on AI ethics in education because the ability to interpret the AI decisions could help judge whether the decision is consistent with ethical criteria.
新的十年见证了人工智能（AI）在教育领域被广泛接受，随后人们对其伦理问题产生了严重担忧。本研究探讨了教育中使用的人工智能伦理的本质和原则，以及对用于教育目的的人工智能伦理的文献计量分析。VOSviewer（= 880）的聚类技术使作者能够揭示教育领域人工智能伦理研究中的前10位作者、来源、组织和国家。通过CitNetExplorer（= 841）对聚类解决方案的分析得出结论，教育目的的人工智能伦理的本质包括道义论、功利主义和美德，而教育中人工智能伦理的原则包括透明度、正义、公平、公正、不伤害、责任和隐私。未来的研究可以考虑人工智能可解释性对教育领域人工智能伦理的影响，因为解释人工智能决策的能力有助于判断该决策是否符合伦理标准。
