为救助儿童会的人道主义干预处理人工智能的授权

IF 13.3 1区 管理学 Q1 BUSINESS
Veronica Scuotto , Kingsley Obi Omeihe , Valentina Cillo , Del Giudice Manlio
{"title":"为救助儿童会的人道主义干预处理人工智能的授权","authors":"Veronica Scuotto ,&nbsp;Kingsley Obi Omeihe ,&nbsp;Valentina Cillo ,&nbsp;Del Giudice Manlio","doi":"10.1016/j.techfore.2025.124330","DOIUrl":null,"url":null,"abstract":"<div><div>The growing needs of humanitarian organisations have intensified discussions around the use of Artificial Intelligence (AI) to enhance humanitarian interventions. While concerns about the costs and time required to adopt AI technologies persist, there is a strong willingness within the sector to leverage AI to become more flexible, adaptive to local conditions, and deliver assistance more efficiently and effectively. Drawing on the Knowledge-Based View (KBV), this study examines the application of AI within one of the world's largest humanitarian organisations, Save the Children. Based on a qualitative analysis conducted in 2024, several key insights emerge. First, AI has the potential to significantly empower and improve humanitarian interventions. Second, although the use of AI remains at an early stage, there is a growing commitment to integrating it across a wide range of humanitarian activities, from assisting refugees to supporting their integration into new communities. Third, individual knowledge remains critical for complementing and enhancing the capabilities of AI, particularly in developing human skills and expertise. Finally, AI acts as a facilitator, in amplifying the impact of humanitarian efforts on a global scale.</div></div>","PeriodicalId":48454,"journal":{"name":"Technological Forecasting and Social Change","volume":"221 ","pages":"Article 124330"},"PeriodicalIF":13.3000,"publicationDate":"2025-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Tackling the empowerment of Artificial Intelligence for humanitarian intervention from Save the Children\",\"authors\":\"Veronica Scuotto ,&nbsp;Kingsley Obi Omeihe ,&nbsp;Valentina Cillo ,&nbsp;Del Giudice Manlio\",\"doi\":\"10.1016/j.techfore.2025.124330\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The growing needs of humanitarian organisations have intensified discussions around the use of Artificial Intelligence (AI) to enhance humanitarian interventions. While concerns about the costs and time required to adopt AI technologies persist, there is a strong willingness within the sector to leverage AI to become more flexible, adaptive to local conditions, and deliver assistance more efficiently and effectively. Drawing on the Knowledge-Based View (KBV), this study examines the application of AI within one of the world's largest humanitarian organisations, Save the Children. Based on a qualitative analysis conducted in 2024, several key insights emerge. First, AI has the potential to significantly empower and improve humanitarian interventions. Second, although the use of AI remains at an early stage, there is a growing commitment to integrating it across a wide range of humanitarian activities, from assisting refugees to supporting their integration into new communities. Third, individual knowledge remains critical for complementing and enhancing the capabilities of AI, particularly in developing human skills and expertise. Finally, AI acts as a facilitator, in amplifying the impact of humanitarian efforts on a global scale.</div></div>\",\"PeriodicalId\":48454,\"journal\":{\"name\":\"Technological Forecasting and Social Change\",\"volume\":\"221 \",\"pages\":\"Article 124330\"},\"PeriodicalIF\":13.3000,\"publicationDate\":\"2025-09-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Technological Forecasting and Social Change\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0040162525003610\",\"RegionNum\":1,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"BUSINESS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Technological Forecasting and Social Change","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0040162525003610","RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS","Score":null,"Total":0}
引用次数: 0

摘要

人道主义组织日益增长的需求加剧了关于使用人工智能(AI)来加强人道主义干预的讨论。虽然对采用人工智能技术所需的成本和时间的担忧仍然存在,但该行业内部有强烈的意愿利用人工智能变得更加灵活,适应当地条件,并更有效地提供援助。基于知识基础观点(KBV),本研究考察了人工智能在世界上最大的人道主义组织之一——救助儿童会(Save the Children)中的应用。基于2024年进行的定性分析,得出了几个关键的见解。首先,人工智能具有显著增强和改善人道主义干预的潜力。第二,尽管人工智能的使用仍处于早期阶段,但越来越多的人致力于将其融入广泛的人道主义活动,从帮助难民到支持他们融入新社区。第三,个人知识对于补充和增强人工智能的能力仍然至关重要,特别是在发展人类技能和专业知识方面。最后,人工智能作为推动者,在全球范围内扩大人道主义努力的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Tackling the empowerment of Artificial Intelligence for humanitarian intervention from Save the Children
The growing needs of humanitarian organisations have intensified discussions around the use of Artificial Intelligence (AI) to enhance humanitarian interventions. While concerns about the costs and time required to adopt AI technologies persist, there is a strong willingness within the sector to leverage AI to become more flexible, adaptive to local conditions, and deliver assistance more efficiently and effectively. Drawing on the Knowledge-Based View (KBV), this study examines the application of AI within one of the world's largest humanitarian organisations, Save the Children. Based on a qualitative analysis conducted in 2024, several key insights emerge. First, AI has the potential to significantly empower and improve humanitarian interventions. Second, although the use of AI remains at an early stage, there is a growing commitment to integrating it across a wide range of humanitarian activities, from assisting refugees to supporting their integration into new communities. Third, individual knowledge remains critical for complementing and enhancing the capabilities of AI, particularly in developing human skills and expertise. Finally, AI acts as a facilitator, in amplifying the impact of humanitarian efforts on a global scale.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
21.30
自引率
10.80%
发文量
813
期刊介绍: Technological Forecasting and Social Change is a prominent platform for individuals engaged in the methodology and application of technological forecasting and future studies as planning tools, exploring the interconnectedness of social, environmental, and technological factors. In addition to serving as a key forum for these discussions, we offer numerous benefits for authors, including complimentary PDFs, a generous copyright policy, exclusive discounts on Elsevier publications, and more.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信