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

IF 2.3 4区 医学 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Rohit Malpani, Keymanthri Moodley
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引用次数: 0

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.

大型多式联运模式:低收入和中等收入国家的福利或负担。
大型多模态模型是一种生成式人工智能(AI),如果在设计和部署这些人工智能技术期间积极解决伦理挑战,则可以有助于政府更广泛地努力实现全民健康覆盖。世界卫生组织发布了新的指南,强调大型多式联运模式的风险和益处,并提出了有效管理这一技术的建议。
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来源期刊
International Health
International Health PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH-
CiteScore
4.50
自引率
0.00%
发文量
83
审稿时长
>12 weeks
期刊介绍: International Health is an official journal of the Royal Society of Tropical Medicine and Hygiene. It publishes original, peer-reviewed articles and reviews on all aspects of global health including the social and economic aspects of communicable and non-communicable diseases, health systems research, policy and implementation, and the evaluation of disease control programmes and healthcare delivery solutions. It aims to stimulate scientific and policy debate and provide a forum for analysis and opinion sharing for individuals and organisations engaged in all areas of global health.
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