Evidence map›Paper›PMID 40143622›Full record

ArticleThe Journal of law, medicine & ethics : a journal of the American Society of Law, Medicine & Ethics2025

Training Bioethics Professionals in AI Ethics: A Framework.

Etienne Aucouturier, Alexei Grinbaum

Abstract read
In one paragraph

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. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Etienne AucouturierCEA-Saclay, France.ORCID https://orcid.org/0000-0003-1922-9422
Alexei GrinbaumCEA-Saclay, France.ORCID https://orcid.org/0000-0002-7484-1553

Funding

European Commission 101058587
6 · The paper itself

Abstract

We present a training module in AI ethics designed to prepare a broad group of professionals to recognize and address potential ethical challenges of AI applications in healthcare. Training materials include a two-page checklist, a brief glossary, and three practical case studies. While we have developed and applied this framework for training Research Ethics Committee members in France and South Africa, it can also be helpful in university courses ranging from public health and healthcare law to biomedical engineering and applied ethics.

Indexed as

AI EthicsArtificial intelligenceBioethicsResearch Ethics CommitteesTraining

Identifiers

PMID40143622
PMCPMC12179532

What OpenQuestion holds

Textmetadata
LicenceCC BY-SA
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.