<h4>Background</h4>Artificial intelligence (AI) has promoted progress across various fields. The number of papers regarding AI has risen in recent years. This study examines retracted publications regarding AI by analyzing trends, journals, and reasons.<h4>Methods</h4>This descriptive cross-sectional study thoroughly investigated retracted AI-related papers listed in PubMed. The data extraction comprised bibliographic data, reasons for retraction, citation metrics, journal indexing status, and Altmetric Attention Scores (AASs). Retraction notices were classified according to particular reasons. Descriptive statistics were employed to evaluate retraction trends, geographic distribution, and citation impact.<h4>Results</h4>A total of 764 retracted AI-related papers were examined, with the most retractions occurring in 2023 (n = 667). China had the highest number (n = 551), followed by India (n = 40) and Bangladesh (n = 23). Journals focusing on mathematical and computational biology, neurosciences, and healthcare sciences had the most retractions. The most common retraction reasons were peer review issues (n = 716) and data concerns (n = 714), followed by irrelevant citations (n = 571) and unethical AI use (n = 238). The median time to retraction was 510 days (18-4,200). The median citation and AAS scores were (0-167) and 0 (0-191).<h4>Conclusion</h4>The high number of retractions from China highlights the need for higher research standards. Deficits in peer review and data issues emerged as the main reasons for retraction, underscoring persistent challenges in maintaining research integrity and quality assurance. For scientific literature integrity, academic institutions, publishers, and researchers should stress transparency, ethics, and rigorous post-publication inspection.
documented fraudulent practices in mathematical publishing and proposed concrete measures to address them. In "Fraudulent Publishing in the Mathematical Sciences
Scientific misconduct is the violation of ethical and professional standards in research, including fabrication, falsification, plagiarism, and other practices that compromise the integrity of the design, conduct, analysis, reporting, or publication of scientific or research findings.
In 1998 Andrew Wakefield published a fraudulent research paper in The Lancet claiming links between the MMR vaccine, autism, and inflammatory bowel disease. In 2010, he was found guilty of dishonesty in his research and banned from medicine by the UK General Medical Council following an investigation by Brian Deer of the London Sunday Times.
The claims in Wakefield's paper were widely reported, leading to a sharp drop in vaccination rates in the UK and Ireland and outbreaks of mumps and measles. Promotion of the claimed link continues to fuel the anti-vaccination movement.
In 2011 Diederik Stapel, a highly regarded Dutch social psychologist, was discovered to have fabricated data in dozens of studies on human behaviour. He has been called "the biggest con man in academic science".
In 2020, Sapan Desai and his coauthors published two papers in the prestigious medical journals The Lancet and The New England Journal of Medicine, early…
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