ArticleResearch ethics2023
The ethics of disclosing the use of artificial intelligence tools in writing scholarly manuscripts.
Article in Research ethics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
47 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The emergence of large language models as tools in literature reviews: a large language model-assisted systematic review.Journal of the American Medical Informatics Association : JAMIA · 2025Pooled it
- Large language models in neuroradiology: an international survey of awareness, applications, and concerns.Neuroradiology · 2026Article
- A practical risk framework for large language model use in life science research.PLoS computational biology · 2026Article
- The Ethics of Prompting Large Language Models in Academic Publishing.Annals of biomedical engineering · 2026Article
- From idea to publication: A practical guide for writing and publishing in the field of rehabilitation psychology.Rehabilitation psychology · 2026Article
- A systematic map of generative AI guidelines and reporting in ecology and evolutionary biology: towards the framework of AI disclosure for Improved Transparency (AIdIT).Research integrity and peer review · 2026Review
- Blinded by the Bot: Benchmarking GPT and Gemini Against Human Authors in Otolaryngology Reviews.World journal of otorhinolaryngology - head and neck surgery · 2026Article
- A call for clarity: a unified checklist for reporting use of large language models in writing scientific manuscripts.Research integrity and peer review · 2026Article
- Large language model use in oral and maxillofacial surgery training: a national resident survey.Oral and maxillofacial surgery · 2026Article
- Disclosing artificial intelligence use in scientific research and publication: When should disclosure be mandatory, optional, or unnecessary?Accountability in research · 2026Article
- Dragon Kill Points: applying a transparent working template to relieve authorship stress.BMC biology · 2026Review
- ChatGPT and higher education in Latin America: measuring perceived academic skills.Frontiers in research metrics and analytics · 2026Article
- Editorial: Research ethics and integrity in the artificial intelligence era.Frontiers in research metrics and analytics · 2026Article
- Prevalence and Content of Generative Artificial Intelligence Use Policies in Iranian Medical Science Journals.Medical journal of the Islamic Republic of Iran · 2026Article
- The missing disclosure: is generative AI use in bioethics scholarship going largely unreported?BMC medical ethics · 2025Article
- Analysis of Retracted Publications on Artificial Intelligence: Trends, Ethical Concerns, and Scientific Integrity.Journal of Korean medical science · 2025Article
- Augmenting research consent: should large language models (LLMs) be used for informed consent to clinical research?Research ethics · 2025Article
- Artificial intelligence policies in bioethics and health humanities: a comparative analysis of publishers and journals.BMC medical ethics · 2025Article
- Disclosing generative AI use for writing assistance should be voluntary.Research ethics · 2025Article
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
In this article, we discuss ethical issues related to using and disclosing artificial intelligence (AI) tools, such as ChatGPT and other systems based on large language models (LLMs), to write or edit scholarly manuscripts. Some journals, such as
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.