人工智能和信息技术对伊斯兰慈善(天课)的影响:有效分配的现代解决方案

Q3 Social Sciences
Karshiboyeva Laylo
{"title":"人工智能和信息技术对伊斯兰慈善(天课)的影响:有效分配的现代解决方案","authors":"Karshiboyeva Laylo","doi":"10.59022/ijlp.83","DOIUrl":null,"url":null,"abstract":"This article examines the impact of artificial intelligence (AI) and information technology solutions on the distribution of Islamic charitable giving, specifically Zakat. The study identifies challenges faced by traditional Zakat distribution systems, such as inefficient resource allocation, inadequate transparency and accountability, and difficulty in identifying eligible recipients. Through an analysis of AI-driven solutions and block-chain based platforms, the article proposes that these technologies can address these challenges by automating and optimizing distribution processes, enhancing transparency and tracking, and improving the identification and verification of eligible recipients. The discussion section evaluates the effectiveness and feasibility of AI and information technology solutions for Zakat distribution, compares the proposed solutions with existing approaches, and outlines potential challenges in implementation. It also provides recommendations for further research, development, and policy implementation to ensure the responsible and effective use of these technologies in the context of Islamic charitable giving. The conclusion highlights the key findings and their implications for the future of Zakat distribution. It calls for the adoption of AI and information technology solutions to enhance the efficiency and effectiveness of Islamic charitable giving, ultimately benefiting millions of people in need across the globe.","PeriodicalId":38248,"journal":{"name":"International Journal of Public Law and Policy","volume":"78 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Impact of AI and Information Technologies on Islamic Charity (Zakat): Modern Solutions for Efficient Distribution\",\"authors\":\"Karshiboyeva Laylo\",\"doi\":\"10.59022/ijlp.83\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article examines the impact of artificial intelligence (AI) and information technology solutions on the distribution of Islamic charitable giving, specifically Zakat. The study identifies challenges faced by traditional Zakat distribution systems, such as inefficient resource allocation, inadequate transparency and accountability, and difficulty in identifying eligible recipients. Through an analysis of AI-driven solutions and block-chain based platforms, the article proposes that these technologies can address these challenges by automating and optimizing distribution processes, enhancing transparency and tracking, and improving the identification and verification of eligible recipients. The discussion section evaluates the effectiveness and feasibility of AI and information technology solutions for Zakat distribution, compares the proposed solutions with existing approaches, and outlines potential challenges in implementation. It also provides recommendations for further research, development, and policy implementation to ensure the responsible and effective use of these technologies in the context of Islamic charitable giving. The conclusion highlights the key findings and their implications for the future of Zakat distribution. It calls for the adoption of AI and information technology solutions to enhance the efficiency and effectiveness of Islamic charitable giving, ultimately benefiting millions of people in need across the globe.\",\"PeriodicalId\":38248,\"journal\":{\"name\":\"International Journal of Public Law and Policy\",\"volume\":\"78 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-07-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Public Law and Policy\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.59022/ijlp.83\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Social Sciences\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Public Law and Policy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.59022/ijlp.83","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Social Sciences","Score":null,"Total":0}
引用次数: 0

摘要

本文探讨了人工智能(AI)和信息技术解决方案对伊斯兰慈善捐赠(特别是天课)分配的影响。该研究确定了传统天课分配系统面临的挑战,例如资源分配效率低下、透明度和问责制不足,以及难以确定合格的受助人。通过对人工智能驱动的解决方案和基于区块链的平台的分析,文章提出这些技术可以通过自动化和优化分发流程,提高透明度和跟踪,以及改进对合格收件人的识别和验证来解决这些挑战。讨论部分评估了人工智能和信息技术解决方案在天课分发中的有效性和可行性,将拟议的解决方案与现有方法进行了比较,并概述了实施过程中的潜在挑战。它还为进一步的研究、开发和政策实施提供了建议,以确保在伊斯兰慈善捐赠的背景下负责任和有效地使用这些技术。结论强调了主要发现及其对天课分配未来的影响。它呼吁采用人工智能和信息技术解决方案,以提高伊斯兰慈善捐赠的效率和效果,最终使全球数百万有需要的人受益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Impact of AI and Information Technologies on Islamic Charity (Zakat): Modern Solutions for Efficient Distribution
This article examines the impact of artificial intelligence (AI) and information technology solutions on the distribution of Islamic charitable giving, specifically Zakat. The study identifies challenges faced by traditional Zakat distribution systems, such as inefficient resource allocation, inadequate transparency and accountability, and difficulty in identifying eligible recipients. Through an analysis of AI-driven solutions and block-chain based platforms, the article proposes that these technologies can address these challenges by automating and optimizing distribution processes, enhancing transparency and tracking, and improving the identification and verification of eligible recipients. The discussion section evaluates the effectiveness and feasibility of AI and information technology solutions for Zakat distribution, compares the proposed solutions with existing approaches, and outlines potential challenges in implementation. It also provides recommendations for further research, development, and policy implementation to ensure the responsible and effective use of these technologies in the context of Islamic charitable giving. The conclusion highlights the key findings and their implications for the future of Zakat distribution. It calls for the adoption of AI and information technology solutions to enhance the efficiency and effectiveness of Islamic charitable giving, ultimately benefiting millions of people in need across the globe.
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
0.80
自引率
0.00%
发文量
55
期刊介绍: IJPLAP covers issues of public law and policy of international relevance. It includes thought-provoking contributions on how public international law obligations inform national approaches in a wide range of sectors, as well as on how the state''s experiences contribute to shaping and advancing the international agenda. IJPLAP features articles, editorials, notes, commentaries, analyses of jurisprudence and legislation and book reviews written by leading scholars and practitioners working in law and related fields, such as economics, philosophy and political science. Topics covered include: -Traditional issues of public international law (including treaty law, institutional law and dispute settlement)- Human rights- Foreign and security policy, migration- Trade and investment- Taxation- Financial regulation- Competition- Intellectual property- Environment, energy and food security- Digitalisation and data protection
×
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:481959085
Book学术官方微信