Evidence map›Paper›PMID 41507141›Full record

ArticleAccountability in research2026

Guidelines needed for the use of AI in the preparation or review of IRB, IBC, and IACUC applications.

Mohammad Hosseini, Daniel Eisenman, James Riddle, Stephanie Pyle, Anju Peters, Nichelle Cobb, Kristi Holmes

Erratum issuedAbstract read
In one paragraph

Article in Accountability in research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Mohammad HosseiniDepartment of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.ORCID 0000-0002-2385-985X
Daniel EisenmanGlobal Review Services, Advarra, Columbia, MD, USA.
James RiddleGlobal Review Services, Advarra, Columbia, MD, USA.
Stephanie PyleGlobal Review Services, Advarra, Columbia, MD, USA.
Anju PetersDepartment of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Nichelle CobbAssociation for the Accreditation of Human Research Protection Programs, Washington DC, USA.
Kristi HolmesDepartment of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.

Funding

NUCATS CTSA UM1 at Northwestern UniversityUM1TR005121 · NCATS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Sara Becker, Richard D'Aquila · 2024 to 2026
$23.4M
Zenodo and the Generalist Repository Ecosystem Initiative (GREI)OT2DB000013 · OD · NORTHWESTERN UNIVERSITY AT CHICAGO · PI KRISTI HOLMES · 2022 to 2026
$2.3M
DB NIH HHS OT2 DB000013NCATS NIH HHS UM1 TR005121
6 · The paper itself

Abstract

Three oversight bodies review research proposals to help ensure the safe and responsible conduct of biomedical research, each focusing on unique aspects of research ethics: institutional review boards (IRBs), institutional biosafety committees (IBCs), and institutional animal care and use committees (IACUCs). The role of artificial intelligence (AI) in research oversight is rapidly expanding, specifically when preparing and reviewing applications. Although using AI may reduce administrative costs and burdens, it also may create new concerns since AI tools can make mistakes of fact and reasoning, and are susceptible to bias. Furthermore, outsourcing ethical planning and oversight of research to AI could compromise ethical understanding. Although the arguments for/against using AI in preparation or review of IRB, IBC, or IACUC differ fundamentally from those concerning AI use in manuscript writing/peer review, currently there is minimal guidance about the responsible use of AI in research oversight from government agencies, professional organizations, universities, hospitals, and other entities that conduct research. We argue that 1) to minimize the risks of using AI in research oversight, additional guidance is urgently needed; and 2) humans must always be the final decider because ethical planning and oversight involve value judgments that should not be outsourced to AI.

Indexed as

Animal Care CommitteesArtificial IntelligenceBiomedical ResearchEthics Committees, ResearchGuidelines as TopicAnimalsEthics, ResearchHumansArtificial intelligenceEthicsIACUCIBCIRB

Identifiers

PMID41507141
PMCPMC12823195

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.