Nafiseh Rezaei, Rasha Atlasi,
Volume 17, Issue 0 (12-2024)
Abstract
Artificial intelligence (AI) ethics encompasses principles and standards guiding the design and application of AI, ensuring privacy, security, and fairness. This study aims to conduct a scientometric analysis of research in this field, identifying key features and emerging trends. A search was conducted in the PubMed database using the Medical Subject Headings (MeSH) terms "artificial intelligence" and "ethics." All indexed documents from inception to September 1, 2024, were retrieved and analyzed. Scientometric analysis and data visualization were performed using R, with results presented through tables, graphs, and scientific maps. A total of 534 papers were published in this domain from 1986 to 2024, with the highest number (n=70) in 2024. The American Journal of Bioethics had the most publications (n=30), and Melissa D. McCradden (University of Toronto) was the most prolific author with five articles. The University of Oxford (n=24) and Stanford University School of Medicine (n=21) were the leading institutions in this field. The most active countries were the USA (n=236), Germany (n=91), and France (n=52). In 2024, the top trending topics included "research personnel," "informed consent/ethics," and "artificial intelligence/ethics/trends," while in 2023, "privacy," "biomedical research," and "medical education" were predominant. The field of AI ethics has seen exponential growth in scientific output, paralleling the rapid advancements in AI applications across disciplines and daily life. Addressing ethical concerns and fostering international research collaboration will be essential for maximizing benefits while mitigating challenges in this evolving domain.
