The promise of data science for health research in Africa

被引：13

作者：

Adebamowo, Clement A. ^{[1
,2
,3
]}

Callier, Shawneequa ^{[4
,5
]}

Akintola, Simisola ^{[3
,6
,7
]}

Maduka, Oluchi ^{[3
]}

Jegede, Ayodele ^{[3
,7
,8
]}

Arima, Christopher ^{[9
]}

Ogundiran, Temidayo ^{[3
,7
,10
]}

Adebamowo, Sally N. ^{[1
,2
,3
]}

机构：

[1] Univ Maryland, Dept Epidemiol & Publ Hlth, Sch Med, Baltimore, MD 21201 USA

[2] Univ Maryland, Greenebaum Comprehens Canc Ctr, Sch Med, Baltimore, MD 21201 USA

[3] Ctr Bioeth & Res, Dept Res, Ibadan, Nigeria

[4] George Washington Univ, Sch Med & Hlth Sci, Dept Clin Res & Leadership, Washington, DC USA

[5] NHGRI, Ctr Res Genom & Global Hlth, NIH, Bethesda, MD 20892 USA

[6] Univ Ibadan, Fac Law, Dept Business Law, Ibadan, Nigeria

[7] Univ Ibadan, Fac Multidisciplinary Studies, Dept Bioeth & Med Humanities, Ibadan, Nigeria

[8] Univ Ibadan, Dept Sociol, Ibadan, Nigeria

[9] Syracuse Univ, Coll Law, Syracuse, NY USA

[10] Univ Ibadan, Coll Med, Dept Surg, Ibadan, Nigeria

来源：

NATURE COMMUNICATIONS | 2023年 / 14卷 / 01期

关键词：

SUB-SAHARAN AFRICA; ARTIFICIAL-INTELLIGENCE; ETHICS;

D O I：

10.1038/s41467-023-41809-2

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

Data science health research promises tremendous benefits for African populations, but its implementation is fraught with substantial ethical governance risks that could thwart the delivery of these anticipated benefits. We discuss emerging efforts to build ethical governance frameworks for data science health research in Africa and the opportunities to advance these through investments by African governments and institutions, international funding organizations and collaborations for research and capacity development. In this Review article, the authors discuss emerging efforts to build ethical governance frameworks for data science health research in Africa and the opportunities to advance these through investments by African governments and institutions, international funding organizations and collaborations for research and capacity development.

引用

页数：8

共 87 条

[1]

Ada Lovelace Institute, 2022, Looking before we leap: Ethical review processes for AI and data science research

[2] Balancing caution and innovation: exploring the potential of large language models in critical decision-making [J].

Akbasli, Izzet Turkalp ;

Bayrakci, Benan .

CRITICAL CARE, 2023, 27 (01)

[3]

[Anonymous], 2022, World health statistics 2022: monitoring health for the SDGs, sustainable development goals

[4]

[Anonymous], 2020, ECONOMIST

[5]

[Anonymous], 2021, Ethics and governance of artificial intelligence for health: WHO guidance

[6]

[Anonymous], 2007, National Health Research Ethics Committee of Nigeria

[7]

[Anonymous], 2023, Bridging Gaps in the ELSI of Data Science Research (BridgELSI) Project

[8] Large language models (LLM) and ChatGPT: a medical student perspective [J].

Arachchige, Arosh S. Perera Molligoda S. .

EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2023, 50 (08) :2248-2249

[9] Artificial Intelligence and Telehealth may Provide Early Warning of Epidemics [J].

Arslan, Janan ;

Benke, Kurt K. .

FRONTIERS IN ARTIFICIAL INTELLIGENCE, 2021, 4

[10]

Bain L., 2018, Research Ethics, V14, P1, DOI DOI 10.1177/1747016117692026

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