{"title":"Artificial Intelligence Authoring Financial Recommendations: Comparative Australian Evidence","authors":"Benjamin R. Neilson","doi":"10.1093/jfr/fjad004","DOIUrl":null,"url":null,"abstract":"\n This article explores the use of artificial intelligence software to create financial recommendations. It seeks to define the impacts and outline the benefits of using ChatGPT software in the highly regulated Australian financial sector. ChatGPT was asked to create a financial recommendation, which was evaluated against the relevant regulations and the recommendations of existing professionals and market contributors. The data generated was analysed using Qualtrics analysis techniques. The findings suggest that ChatGPT significantly reduces the time required to carry out creation, input, and editing services for simple financial advice recommendations. However, ChatGPT fails to operate effectively with complex financial advice and requires professional guidance to ensure regulatory adherence. In future, it may be possible to develop ChatGPT as a complementary tool to decrease the time and cost required to create financial recommendations.","PeriodicalId":42830,"journal":{"name":"Journal of Financial Regulation","volume":null,"pages":null},"PeriodicalIF":2.0000,"publicationDate":"2023-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Financial Regulation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/jfr/fjad004","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"LAW","Score":null,"Total":0}
引用次数: 2
Abstract
This article explores the use of artificial intelligence software to create financial recommendations. It seeks to define the impacts and outline the benefits of using ChatGPT software in the highly regulated Australian financial sector. ChatGPT was asked to create a financial recommendation, which was evaluated against the relevant regulations and the recommendations of existing professionals and market contributors. The data generated was analysed using Qualtrics analysis techniques. The findings suggest that ChatGPT significantly reduces the time required to carry out creation, input, and editing services for simple financial advice recommendations. However, ChatGPT fails to operate effectively with complex financial advice and requires professional guidance to ensure regulatory adherence. In future, it may be possible to develop ChatGPT as a complementary tool to decrease the time and cost required to create financial recommendations.