{"title":"人工智能对通过普惠金融实现可持续发展目标的重要性","authors":"Anam Fazal, Alia Ahmed, Sagheer Abbas","doi":"10.1108/qrfm-04-2023-0098","DOIUrl":null,"url":null,"abstract":"<h3>Purpose</h3>\n<p>The purpose of this paper is to provide evidence on the relationship between artificial intelligence (AI) and financial inclusion to achieve sustainable development goals (SDGs), an agenda set by United Nations for 2030. Financial inclusion is an enabler of 8 of the 17 SDGs. This paper emphasizes the introduction of AI in the financial sector, which is indispensable for achieving financial inclusion and plays a crucial role in the achievement of SDGs.</p><!--/ Abstract__block -->\n<h3>Design/methodology/approach</h3>\n<p>This study adopts qualitative research methodology to highlight the significance of AI in achieving high levels of financial inclusion in an economy. Both narrative and comparative approaches are used to provide empirical evidence for reaching the UN SDGs target through AI-assisted financial inclusion.</p><!--/ Abstract__block -->\n<h3>Findings</h3>\n<p>AI implementation in finance enables people to take part in the formal financial sector and thus, enhances economic growth and reduces poverty.</p><!--/ Abstract__block -->\n<h3>Research limitations/implications</h3>\n<p>This research is limited in its data. Only five top AI applications are chosen and comparison is made between two countries only. Future research should consider it as an established concept and include more data to strengthen the evidence.</p><!--/ Abstract__block -->\n<h3>Practical implications</h3>\n<p>The results of this paper will help policymakers convince governments and institutions to put their efforts toward AI implementation in financial infrastructure of countries.</p><!--/ Abstract__block -->\n<h3>Originality/value</h3>\n<p>This research is unique in providing real-life examples and cases demonstrating the significance of AI implementation in the financial sector. Recent literature lacks evidence on the relationship of AI, financial inclusion and SDGs. This study adds to the existing literature by compiling data on top AI applications and comparing the performance of countries in achieving financial inclusion with the help of AI.</p><!--/ Abstract__block -->","PeriodicalId":45060,"journal":{"name":"Qualitative Research in financial Markets","volume":null,"pages":null},"PeriodicalIF":1.9000,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Importance of artificial intelligence in achieving sustainable development goals through financial inclusion\",\"authors\":\"Anam Fazal, Alia Ahmed, Sagheer Abbas\",\"doi\":\"10.1108/qrfm-04-2023-0098\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<h3>Purpose</h3>\\n<p>The purpose of this paper is to provide evidence on the relationship between artificial intelligence (AI) and financial inclusion to achieve sustainable development goals (SDGs), an agenda set by United Nations for 2030. Financial inclusion is an enabler of 8 of the 17 SDGs. This paper emphasizes the introduction of AI in the financial sector, which is indispensable for achieving financial inclusion and plays a crucial role in the achievement of SDGs.</p><!--/ Abstract__block -->\\n<h3>Design/methodology/approach</h3>\\n<p>This study adopts qualitative research methodology to highlight the significance of AI in achieving high levels of financial inclusion in an economy. Both narrative and comparative approaches are used to provide empirical evidence for reaching the UN SDGs target through AI-assisted financial inclusion.</p><!--/ Abstract__block -->\\n<h3>Findings</h3>\\n<p>AI implementation in finance enables people to take part in the formal financial sector and thus, enhances economic growth and reduces poverty.</p><!--/ Abstract__block -->\\n<h3>Research limitations/implications</h3>\\n<p>This research is limited in its data. Only five top AI applications are chosen and comparison is made between two countries only. Future research should consider it as an established concept and include more data to strengthen the evidence.</p><!--/ Abstract__block -->\\n<h3>Practical implications</h3>\\n<p>The results of this paper will help policymakers convince governments and institutions to put their efforts toward AI implementation in financial infrastructure of countries.</p><!--/ Abstract__block -->\\n<h3>Originality/value</h3>\\n<p>This research is unique in providing real-life examples and cases demonstrating the significance of AI implementation in the financial sector. Recent literature lacks evidence on the relationship of AI, financial inclusion and SDGs. This study adds to the existing literature by compiling data on top AI applications and comparing the performance of countries in achieving financial inclusion with the help of AI.</p><!--/ Abstract__block -->\",\"PeriodicalId\":45060,\"journal\":{\"name\":\"Qualitative Research in financial Markets\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.9000,\"publicationDate\":\"2024-07-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Qualitative Research in financial Markets\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1108/qrfm-04-2023-0098\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BUSINESS, FINANCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Qualitative Research in financial Markets","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/qrfm-04-2023-0098","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
Importance of artificial intelligence in achieving sustainable development goals through financial inclusion
Purpose
The purpose of this paper is to provide evidence on the relationship between artificial intelligence (AI) and financial inclusion to achieve sustainable development goals (SDGs), an agenda set by United Nations for 2030. Financial inclusion is an enabler of 8 of the 17 SDGs. This paper emphasizes the introduction of AI in the financial sector, which is indispensable for achieving financial inclusion and plays a crucial role in the achievement of SDGs.
Design/methodology/approach
This study adopts qualitative research methodology to highlight the significance of AI in achieving high levels of financial inclusion in an economy. Both narrative and comparative approaches are used to provide empirical evidence for reaching the UN SDGs target through AI-assisted financial inclusion.
Findings
AI implementation in finance enables people to take part in the formal financial sector and thus, enhances economic growth and reduces poverty.
Research limitations/implications
This research is limited in its data. Only five top AI applications are chosen and comparison is made between two countries only. Future research should consider it as an established concept and include more data to strengthen the evidence.
Practical implications
The results of this paper will help policymakers convince governments and institutions to put their efforts toward AI implementation in financial infrastructure of countries.
Originality/value
This research is unique in providing real-life examples and cases demonstrating the significance of AI implementation in the financial sector. Recent literature lacks evidence on the relationship of AI, financial inclusion and SDGs. This study adds to the existing literature by compiling data on top AI applications and comparing the performance of countries in achieving financial inclusion with the help of AI.
期刊介绍:
Qualitative Research in Financial Markets is the only peer-reviewed journal dedicated to exploring the rapidly-growing area of research activity in finance that uses qualitative methods. Building on a long pedigree of finance research, the journal publishes international and innovative analyses and novel insights into financial markets worldwide