  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.
