# AI Ethics: A Bibliometric Analysis, Critical Issues, and Key Gaps ## Overview **Authors:** Kevin Gao, Andrew Haverly, Sudip Mittal, Jiming Wu, Jingdao Chen **Publication Date:** 12 March 2024 **Link:** **Keywords:** AI ethics, bibliomentric analysis, human-centric AI, Collingridge Dilemma, AI transparency, privacy protections, algocracy, superintelligence **Type:** Peer-Reviewed Journals/White Papers ## Summary AI ethics has rapidly become a crucial area of academic inquiry. This study provides a thorough bibliometric analysis of AI ethics literature over the past two decades, identifying a three-phase progression: an initial incubation period, a phase centered on embedding human-like attributes into AI, and a final phase prioritizing human-centric AI development. The study highlights seven major ethical challenges, including the Collingridge dilemma, debates over AI's moral status, issues of transparency and explainability, privacy concerns, considerations of justice and fairness, the risks of algocracy and human dependence, and concerns surrounding superintelligence. Additionally, it identifies two key research gaps in AI ethics—the need for large ethics models (LEM) and AI identification mechanisms—while calling for further scholarly exploration in these areas. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://library.xrguild.org/ai-ethics/ai-ethics-a-bibliometric-analysis-critical-issues-and-key-gaps.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.