Artificial intelligence (AI) ethics has emerged as a burgeoning yet pivotal
area of scholarly research. This study conducts a comprehensive bibliometric
analysis of the AI ethics literature over the past two decades. The analysis
reveals a discernible tripartite progression, characterized by an incubation
phase, followed by a subsequent phase focused on imbuing AI with human-like
attributes, culminating in a third phase emphasizing the development of
human-centric AI systems. After that, they present seven key AI ethics issues,
encompassing the Collingridge dilemma, the AI status debate, challenges
associated with AI transparency and explainability, privacy protection
complications, considerations of justice and fairness, concerns about algocracy
and human enfeeblement, and the issue of superintelligence. Finally, they
identify two notable research gaps in AI ethics regarding the large ethics
model (LEM) and AI identification and extend an invitation for further
scholarly research.

人工智能伦理学是一个新兴而重要的学术研究领域，本研究对过去二十年的人工智能伦理学文献进行了全面的计量分析，揭示了一个明显的三阶段发展过程，涵盖了人工智能获得类似人类特征的阶段、人本主义人工智能系统的发展阶段。此外，研究还提出了七个关键的人工智能伦理问题，并指出了关于伦理模型和人工智能识别的两个值得进一步研究的研究空白，期待进一步的学术研究。