Large multimodal models: boon or burden for low- and middle-income countries

Large multimodal models, a type of generative artificial intelligence (AI), could contribute to wider government efforts to achieve universal health coverage if ethical challenges are proactively addressed during the design and deployment of these AI technologies. The World Health Organization has published new guidance to highlight the risks and benefits of large multimodal models and recommendations to effectively govern this technology.

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Publication Details

Journal
International Health
Published
2024-09-30
DOI
https://doi.org/10.1093/inthealth/ihae073
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Large multimodal models: boon or burden for low- and middle-income countries

Keymanthri Moodley, Rohit Malpani
International Health
Artificial Intelligence in Healthcare and Education
article

Large multimodal models: boon or burden for low- and middle-income countries

Keymanthri Moodley, Rohit Malpani
article en

Abstract

Large multimodal models, a type of generative artificial intelligence (AI), could contribute to wider government efforts to achieve universal health coverage if ethical challenges are proactively addressed during the design and deployment of these AI technologies. The World Health Organization has published new guidance to highlight the risks and benefits of large multimodal models and recommendations to effectively govern this technology.

International HealthVol. 17(5)
Stellenbosch University (ZA), World Health Organization (CH)
Openalex Percentile: Top 81%
Artificial Intelligence in Healthcare and Education
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Large multimodal models: boon or burden for low- and middle-income countries — Keymanthri Moodley, Rohit Malpani · International Health (2024) | TGRS Research Map | TGRS