Evidence map›Paper›PMID 38637857›Full record

ArticleBMC medical ethics2024

Research ethics and artificial intelligence for global health: perspectives from the global forum on bioethics in research.

James Shaw, Joseph Ali, Caesar A Atuire, Phaik Yeong Cheah, Armando Guio Español, Judy Wawira Gichoya, Adrienne Hunt, Daudi Jjingo, Katherine Littler, Daniela Paolotti and 1 more

Abstract read
In one paragraph

Article in BMC medical ethics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

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  12. Health Research Ethics in Southern Africa: Building Capacity and Cultivating Excellence.Journal of empirical research on human research ethics : JERHRE · 2025
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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

11 authors.

James ShawDepartment of Physical Therapy, Temerty Faculty of Medicine, University of Toronto, Toronto, Canada. Jay.shaw@utoronto.ca.
Joseph AliBerman Institute of Bioethics, Johns Hopkins University, Baltimore, MD, USA.
Caesar A AtuireDepartment of Philosophy and Classics, University of Ghana, Legon-Accra, Ghana.
Phaik Yeong CheahMahidol Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
Armando Guio EspañolBerkman Klein Center, Harvard University, Bogotá, Colombia.
Judy Wawira GichoyaDepartment of Radiology and Informatics, Emory University School of Medicine, Atlanta, GA, USA.
Adrienne HuntHealth Ethics & Governance Unit, Research for Health Department, Science Division, World Health Organization, Geneva, Switzerland.
Daudi JjingoAfrican Center of Excellence in Bioinformatics and Data Intensive Science, Infectious Diseases Institute, Makerere University, Kampala, Uganda.
Katherine LittlerHealth Ethics & Governance Unit, Research for Health Department, Science Division, World Health Organization, Geneva, Switzerland.
Daniela PaolottiISI Foundation, Turin, Italy.
Effy VayenaDepartment of Health Sciences and Technology, ETH Zurich, Zürich, Switzerland.

Funding

Wellcome TrustWellcome Trust 222525/Z/21/ZWorld Health Organization 001
6 · The paper itself

Abstract

backgroundThe ethical governance of Artificial Intelligence (AI) in health care and public health continues to be an urgent issue for attention in policy, research, and practice. In this paper we report on central themes related to challenges and strategies for promoting ethics in research involving AI in global health, arising from the Global Forum on Bioethics in Research (GFBR), held in Cape Town, South Africa in November 2022.

methodsThe GFBR is an annual meeting organized by the World Health Organization and supported by the Wellcome Trust, the US National Institutes of Health, the UK Medical Research Council (MRC) and the South African MRC. The forum aims to bring together ethicists, researchers, policymakers, research ethics committee members and other actors to engage with challenges and opportunities specifically related to research ethics. In 2022 the focus of the GFBR was "Ethics of AI in Global Health Research". The forum consisted of 6 case study presentations, 16 governance presentations, and a series of small group and large group discussions. A total of 87 participants attended the forum from 31 countries around the world, representing disciplines of bioethics, AI, health policy, health professional practice, research funding, and bioinformatics. In this paper, we highlight central insights arising from GFBR 2022.

resultsWe describe the significance of four thematic insights arising from the forum: (1) Appropriateness of building AI, (2) Transferability of AI systems, (3) Accountability for AI decision-making and outcomes, and (4) Individual consent. We then describe eight recommendations for governance leaders to enhance the ethical governance of AI in global health research, addressing issues such as AI impact assessments, environmental values, and fair partnerships.

conclusionsThe 2022 Global Forum on Bioethics in Research illustrated several innovations in ethical governance of AI for global health research, as well as several areas in need of urgent attention internationally. This summary is intended to inform international and domestic efforts to strengthen research ethics and support the evolution of governance leadership to meet the demands of AI in global health research.

Indexed as

Artificial IntelligenceBioethicsEthics, ResearchGlobal HealthHumansSouth AfricaArtificial intelligenceBioethicsGlobal healthMachine learningResearch ethics

Identifiers

PMID38637857
PMCPMC11025232

What OpenQuestion holds

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LicenceCC BY
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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.