AI伦理：文献计量分析、关键问题与核心空白
AI Ethics: A Bibliometric Analysis, Critical Issues, and Key Gaps
AI总结：
本研究对过去二十年AI伦理文献进行了文献计量分析，揭示了其三阶段演进过程，提出了七个关键伦理问题，并指出了大伦理模型和AI识别两个研究空白。
摘要：
人工智能（AI）伦理已成为一个蓬勃发展且至关重要的学术研究领域。本研究对过去二十年的AI伦理文献进行了全面的文献计量分析。分析揭示了明显的三阶段演进过程，其特征为：首先是孵化阶段，随后是致力于赋予AI类人属性的阶段，最后是强调开发以人为中心的AI系统的第三阶段。此后，他们提出了七个关键的AI伦理问题，包括Collingridge困境、AI地位辩论、与AI透明度和可解释性相关的挑战、隐私保护并发症、正义与公平的考量、对算法统治和人类能力衰退的担忧，以及超级智能问题。最后，他们指出了AI伦理中关于大伦理模型（LEM）和AI识别的两个显著研究空白，并邀请进一步的学术研究。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
