Evidence map›Paper›PMID 42746404›Full record

ArticleFrontiers in public health2026

Responsible AI readiness in a humanitarian and development ecosystem: an exploratory case study.

Yasmine Attia, Diana Maddah, Al-Anoud Al-Kaabi, Ghalia Seifo, Mohammed Bader Al-Sada, Jesha Mohammed Ali Mundodan, Abdelaziz Khatir Jadeed, Niveen M E Abu-Rmeileh, Kwalombota Kwalombota

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Article in Frontiers in public health, 2026. 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

9 authors.

Yasmine AttiaDepartment of Public Health, College of Health Sciences, Qatar University, Doha, Qatar.
Diana MaddahDepartment of Public Health, College of Health Sciences, Qatar University, Doha, Qatar.
Al-Anoud Al-KaabiQatar Fund for Development (QFFD), Doha, Qatar.
Ghalia SeifoUnited Nations Office for the Coordination of Humanitarian Affairs (UN OCHA), Doha, Qatar.
Mohammed Bader Al-SadaQatar Red Crescent Society (QRCS), Doha, Qatar.
Jesha Mohammed Ali MundodanMinistry of Public Health (MoPH), Doha, Qatar.
Abdelaziz Khatir JadeedQatar Charity (QC), Doha, Qatar.
Niveen M E Abu-RmeilehDepartment of Public Health, College of Health Sciences, Qatar University, Doha, Qatar.
Kwalombota KwalombotaForeign, Commonwealth and Development Office (FCDO), London, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Humanitarian and development organizations are increasingly exploring artificial intelligence (AI) to support information-intensive work, yet responsible adoption depends on both staff readiness and organizational enabling conditions. This study provides an exploratory stakeholder-based snapshot of AI readiness within Qatar's humanitarian and development ecosystem. A cross-sectional, bilingual online survey was administered to humanitarian-sector stakeholders (

Indexed as

AltruismArtificial IntelligenceCross-Sectional StudiesHumansQatarSurveys and Questionnairesartificial intelligencedata responsibilityhumanitarianorganizational readinessQatartechnology acceptance

Identifiers

PMID42746404
PMCPMC13576051

What OpenQuestion holds

Textmetadata
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.