{"title":"考虑人工智能的社会和经济可持续性。","authors":"Rosalie Waelen, Aimee van Wynsberghe","doi":"10.1007/s11948-025-00544-1","DOIUrl":null,"url":null,"abstract":"<p><p>In recent years, the notion of 'sustainable AI' has emerged as a new topic within the wider debate on artificial intelligence (AI). Although sustainability is usually understood as having three dimensions - the environment, society, and the economy - the debate on sustainable AI, so far, is characterized by a narrow focus on the environmental sustainability of AI. In this article, it is argued that the debate on sustainable AI should not only be about AI's environmental costs, but also incorporate social and economic concerns. More precisely, the article shows that AI's environmental impact is often connected to important social and economic issues. Through an analysis of existing literature on the sustainability of AI, it is demonstrated that ethical and philosophical arguments about the importance of considering the environmental costs of AI apply just as well to the social and economic dimensions of AI development. The aim of this article is thus to present a broader understanding of sustainable AI; one that includes all three pillars of sustainability and acknowledges the interdependence between AI's environmental, social and economic costs.</p>","PeriodicalId":49564,"journal":{"name":"Science and Engineering Ethics","volume":"31 4","pages":"19"},"PeriodicalIF":3.0000,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12289707/pdf/","citationCount":"0","resultStr":"{\"title\":\"Considering the Social and Economic Sustainability of AI.\",\"authors\":\"Rosalie Waelen, Aimee van Wynsberghe\",\"doi\":\"10.1007/s11948-025-00544-1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>In recent years, the notion of 'sustainable AI' has emerged as a new topic within the wider debate on artificial intelligence (AI). Although sustainability is usually understood as having three dimensions - the environment, society, and the economy - the debate on sustainable AI, so far, is characterized by a narrow focus on the environmental sustainability of AI. In this article, it is argued that the debate on sustainable AI should not only be about AI's environmental costs, but also incorporate social and economic concerns. More precisely, the article shows that AI's environmental impact is often connected to important social and economic issues. Through an analysis of existing literature on the sustainability of AI, it is demonstrated that ethical and philosophical arguments about the importance of considering the environmental costs of AI apply just as well to the social and economic dimensions of AI development. The aim of this article is thus to present a broader understanding of sustainable AI; one that includes all three pillars of sustainability and acknowledges the interdependence between AI's environmental, social and economic costs.</p>\",\"PeriodicalId\":49564,\"journal\":{\"name\":\"Science and Engineering Ethics\",\"volume\":\"31 4\",\"pages\":\"19\"},\"PeriodicalIF\":3.0000,\"publicationDate\":\"2025-07-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12289707/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Science and Engineering Ethics\",\"FirstCategoryId\":\"98\",\"ListUrlMain\":\"https://doi.org/10.1007/s11948-025-00544-1\",\"RegionNum\":2,\"RegionCategory\":\"哲学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Science and Engineering Ethics","FirstCategoryId":"98","ListUrlMain":"https://doi.org/10.1007/s11948-025-00544-1","RegionNum":2,"RegionCategory":"哲学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
Considering the Social and Economic Sustainability of AI.
In recent years, the notion of 'sustainable AI' has emerged as a new topic within the wider debate on artificial intelligence (AI). Although sustainability is usually understood as having three dimensions - the environment, society, and the economy - the debate on sustainable AI, so far, is characterized by a narrow focus on the environmental sustainability of AI. In this article, it is argued that the debate on sustainable AI should not only be about AI's environmental costs, but also incorporate social and economic concerns. More precisely, the article shows that AI's environmental impact is often connected to important social and economic issues. Through an analysis of existing literature on the sustainability of AI, it is demonstrated that ethical and philosophical arguments about the importance of considering the environmental costs of AI apply just as well to the social and economic dimensions of AI development. The aim of this article is thus to present a broader understanding of sustainable AI; one that includes all three pillars of sustainability and acknowledges the interdependence between AI's environmental, social and economic costs.
期刊介绍:
Science and Engineering Ethics is an international multidisciplinary journal dedicated to exploring ethical issues associated with science and engineering, covering professional education, research and practice as well as the effects of technological innovations and research findings on society.
While the focus of this journal is on science and engineering, contributions from a broad range of disciplines, including social sciences and humanities, are welcomed. Areas of interest include, but are not limited to, ethics of new and emerging technologies, research ethics, computer ethics, energy ethics, animals and human subjects ethics, ethics education in science and engineering, ethics in design, biomedical ethics, values in technology and innovation.
We welcome contributions that deal with these issues from an international perspective, particularly from countries that are underrepresented in these discussions.