ArticleThe Journal of law, medicine & ethics : a journal of the American Society of Law, Medicine & Ethics2025
The Need for Prospective Integrity Standards for the Use of Generative AI in Research.
Article in The Journal of law, medicine & ethics : a journal of the American Society of Law, Medicine & Ethics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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
2 citing papers in PubMed.
- Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
Abstract
The federal government has a long history of trying to find the right balance in supporting scientific and medical research while protecting the public and other researchers from potential harms. To date, this balance has been generally calibrated differently across contexts - including in clinical care, human subjects research, and research integrity. New challenges continue to face this disparate model of regulation, including novel Generative Artificial Intelligence (GenAI) tools. Because of potential increases in unintentional fabrication, falsification, and plagiarism using GenAI - and challenges establishing both these errors and intentionality in retrospect - this article argues that we should instead move toward a system that sets accepted community standards for the use of GenAI in research as prospective requirements.
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.