问责
会计
审计
业务
公共部门
公认审计准则
会计信息系统
财务会计
经济
政治学
经济
法学
作者
Deborah Agostino,Rui Pedro Lourenço,Susana Jorge,Enrico Bracci,Isabel Cf da Cruz
标识
DOI:10.1080/09540962.2025.2529266
摘要
IMPACT: This article highlights that while data preparers, auditors and final users of financial information in the public sector have been realizing the efficiency- and reliability-related benefits of data science tools, they may not be fully aware of the risks that may impact the transparency of financial documents and accountability-related processes. There is a very clear need to develop effective regulatory oversight mechanisms. The limited theoretical engagement of the literature reviewed in this article highlights the need for interdisciplinary approaches to conceptualizing data science and AI-driven financial reporting and decision-making.
科研通智能强力驱动
Strongly Powered by AbleSci AI