May Artificial Intelligence take health and sustainability on a honeymoon? Towards green technologies for multidimensional health and environmental justice
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 thi...
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2024-12-01
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| Series: | Global Bioethics |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/11287462.2024.2322208 |
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| author | Cristian Moyano-Fernández Jon Rueda Janet Delgado Txetxu Ausín |
| author_facet | Cristian Moyano-Fernández Jon Rueda Janet Delgado Txetxu Ausín |
| author_sort | Cristian Moyano-Fernández |
| collection | DOAJ |
| description | 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.Highlights 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. |
| format | Article |
| id | doaj-art-0f1a9b1a74d641e3899da0b1250cd71f |
| institution | Kabale University |
| issn | 1128-7462 1591-7398 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Global Bioethics |
| spelling | doaj-art-0f1a9b1a74d641e3899da0b1250cd71f2024-12-02T16:58:57ZengTaylor & Francis GroupGlobal Bioethics1128-74621591-73982024-12-0135110.1080/11287462.2024.2322208May Artificial Intelligence take health and sustainability on a honeymoon? Towards green technologies for multidimensional health and environmental justiceCristian Moyano-Fernández0Jon Rueda1Janet Delgado2Txetxu Ausín3Institute of Philosophy, Spanish National Research Council, Madrid, SpainFiloLab Scientific Unit of Excellence, University of Granada, Granada, SpainDepartment of Philosophy 1, Faculty of Philosophy, University of Granada, Granada, SpainInstitute of Philosophy, Spanish National Research Council, Madrid, SpainThe 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.Highlights 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.https://www.tandfonline.com/doi/10.1080/11287462.2024.2322208Artificial intelligencesustainabilityhealth and environmental justicelong-termnonanthropocentrism |
| spellingShingle | Cristian Moyano-Fernández Jon Rueda Janet Delgado Txetxu Ausín May Artificial Intelligence take health and sustainability on a honeymoon? Towards green technologies for multidimensional health and environmental justice Global Bioethics Artificial intelligence sustainability health and environmental justice long-term nonanthropocentrism |
| title | May Artificial Intelligence take health and sustainability on a honeymoon? Towards green technologies for multidimensional health and environmental justice |
| title_full | May Artificial Intelligence take health and sustainability on a honeymoon? Towards green technologies for multidimensional health and environmental justice |
| title_fullStr | May Artificial Intelligence take health and sustainability on a honeymoon? Towards green technologies for multidimensional health and environmental justice |
| title_full_unstemmed | May Artificial Intelligence take health and sustainability on a honeymoon? Towards green technologies for multidimensional health and environmental justice |
| title_short | May Artificial Intelligence take health and sustainability on a honeymoon? Towards green technologies for multidimensional health and environmental justice |
| title_sort | may artificial intelligence take health and sustainability on a honeymoon towards green technologies for multidimensional health and environmental justice |
| topic | Artificial intelligence sustainability health and environmental justice long-term nonanthropocentrism |
| url | https://www.tandfonline.com/doi/10.1080/11287462.2024.2322208 |
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