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人工智能能否引领健康与可持续发展步入蜜月期?探索促进多维健康与环境正义的绿色技术。

May Artificial Intelligence take health and sustainability on a honeymoon? Towards green technologies for multidimensional health and environmental justice.

作者信息

Moyano-Fernández Cristian, Rueda Jon, Delgado Janet, Ausín Txetxu

机构信息

Institute of Philosophy, Spanish National Research Council, Madrid, Spain.

FiloLab Scientific Unit of Excellence, University of Granada, Granada, Spain.

出版信息

Glob Bioeth. 2024 Mar 11;35(1):2322208. doi: 10.1080/11287462.2024.2322208. eCollection 2024.

DOI:10.1080/11287462.2024.2322208
PMID:38476503
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10930144/
Abstract

The application of Artificial Intelligence (AI) in healthcare and epidemiology undoubtedly has many benefits for the population. However, due to its environmental impact, the use of AI can produce social inequalities and long-term environmental damages that may not be thoroughly contemplated. In this paper, we propose to consider the impacts of AI applications in medical care from the One Health paradigm and long-term global health. From health and environmental justice, rather than settling for a short and fleeting green honeymoon between health and sustainability caused by AI, it should aim for a lasting marriage. To this end, we conclude by proposing that, in the upcoming years, it could be valuable and necessary to promote more interconnected health, call for environmental cost transparency, and increase green responsibility. Using AI in medicine and epidemiology has some benefits in the short term.AI usage may cause social inequalities and environmental damage in the long term.Health justice should be rethought from the One Health perspective.Going beyond anthropocentric and myopic cost-benefit analysis would expand health justice to include an environmental dimension.Greening AI would help to reconcile public and global health measures.

摘要

人工智能(AI)在医疗保健和流行病学中的应用无疑给大众带来诸多益处。然而,由于其对环境的影响,人工智能的使用可能会产生社会不平等以及长期的环境破坏,而这些可能并未得到充分考量。在本文中,我们建议从“同一健康”范式和全球长期健康的角度来审视人工智能应用在医疗保健方面的影响。从健康和环境正义出发,不应仅仅满足于人工智能在健康与可持续性之间带来的短暂的绿色蜜月期,而应追求持久的结合。为此,我们最后提议,在未来几年,推动更具互联性的健康、要求环境成本透明化以及增强绿色责任可能是有价值且必要的。在医学和流行病学中使用人工智能短期内有一些益处。从长期来看,人工智能的使用可能会导致社会不平等和环境破坏。应从“同一健康”视角重新思考健康正义。超越以人类为中心的短视成本效益分析将把健康正义扩展至包括环境维度。使人工智能绿色化将有助于协调公共和全球健康措施。

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