可解释人工智能 (xAI) 在金融领域的应用进展

IF 7.4 2区 经济学 Q1 BUSINESS, FINANCE
Tony Klein, Thomas Walther
{"title":"可解释人工智能 (xAI) 在金融领域的应用进展","authors":"Tony Klein, Thomas Walther","doi":"10.1016/j.frl.2024.106358","DOIUrl":null,"url":null,"abstract":"Explainable Artificial Intelligence addresses the black box problem associated with AI, aiming to promote greater transparency, traceability, and trust in applications of AI. xAI is becoming a vital element in finance and economics in fields like risk management, credit decisions, and regulatory compliance. The need for xAI arises from the challenges in understanding, trusting, and communicating AI-generated results. While some argue for the adoption of inherently interpretable models, others critique popular xAI methods. This special issue explores xAI’s role in finance and its advances, focusing on its implications for future research, practice, and policy in FinTech.","PeriodicalId":12167,"journal":{"name":"Finance Research Letters","volume":"18 1","pages":""},"PeriodicalIF":7.4000,"publicationDate":"2024-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Advances in Explainable Artificial Intelligence (xAI) in Finance\",\"authors\":\"Tony Klein, Thomas Walther\",\"doi\":\"10.1016/j.frl.2024.106358\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Explainable Artificial Intelligence addresses the black box problem associated with AI, aiming to promote greater transparency, traceability, and trust in applications of AI. xAI is becoming a vital element in finance and economics in fields like risk management, credit decisions, and regulatory compliance. The need for xAI arises from the challenges in understanding, trusting, and communicating AI-generated results. While some argue for the adoption of inherently interpretable models, others critique popular xAI methods. This special issue explores xAI’s role in finance and its advances, focusing on its implications for future research, practice, and policy in FinTech.\",\"PeriodicalId\":12167,\"journal\":{\"name\":\"Finance Research Letters\",\"volume\":\"18 1\",\"pages\":\"\"},\"PeriodicalIF\":7.4000,\"publicationDate\":\"2024-11-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Finance Research Letters\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://doi.org/10.1016/j.frl.2024.106358\",\"RegionNum\":2,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"BUSINESS, FINANCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Finance Research Letters","FirstCategoryId":"96","ListUrlMain":"https://doi.org/10.1016/j.frl.2024.106358","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
引用次数: 0

摘要

可解释的人工智能(Explainable Artificial Intelligence)解决了与人工智能相关的黑箱问题,旨在提高人工智能应用的透明度、可追溯性和信任度。之所以需要 xAI,是因为在理解、信任和交流人工智能生成的结果方面存在挑战。一些人主张采用本质上可解释的模型,而另一些人则批评流行的 xAI 方法。本特刊探讨了 xAI 在金融领域的作用及其进展,重点关注其对金融科技领域未来研究、实践和政策的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Advances in Explainable Artificial Intelligence (xAI) in Finance
Explainable Artificial Intelligence addresses the black box problem associated with AI, aiming to promote greater transparency, traceability, and trust in applications of AI. xAI is becoming a vital element in finance and economics in fields like risk management, credit decisions, and regulatory compliance. The need for xAI arises from the challenges in understanding, trusting, and communicating AI-generated results. While some argue for the adoption of inherently interpretable models, others critique popular xAI methods. This special issue explores xAI’s role in finance and its advances, focusing on its implications for future research, practice, and policy in FinTech.
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
Finance Research Letters
Finance Research Letters BUSINESS, FINANCE-
CiteScore
11.10
自引率
14.40%
发文量
863
期刊介绍: Finance Research Letters welcomes submissions across all areas of finance, aiming for rapid publication of significant new findings. The journal particularly encourages papers that provide insight into the replicability of established results, examine the cross-national applicability of previous findings, challenge existing methodologies, or demonstrate methodological contingencies. Papers are invited in the following areas: Actuarial studies Alternative investments Asset Pricing Bankruptcy and liquidation Banks and other Depository Institutions Behavioral and experimental finance Bibliometric and Scientometric studies of finance Capital budgeting and corporate investment Capital markets and accounting Capital structure and payout policy Commodities Contagion, crises and interdependence Corporate governance Credit and fixed income markets and instruments Derivatives Emerging markets Energy Finance and Energy Markets Financial Econometrics Financial History Financial intermediation and money markets Financial markets and marketplaces Financial Mathematics and Econophysics Financial Regulation and Law Forecasting Frontier market studies International Finance Market efficiency, event studies Mergers, acquisitions and the market for corporate control Micro Finance Institutions Microstructure Non-bank Financial Institutions Personal Finance Portfolio choice and investing Real estate finance and investing Risk SME, Family and Entrepreneurial Finance
×
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