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Artificial Intelligence in Financial Reports: How It Affects the Process's Effectiveness and Efficiency

Authors :
Zakaria Kuswara
Marsel Pasaribu
Fitriana Fitriana
Rachmat Agus Santoso
Source :
Jurnal Ilmu Keuangan dan Perbankan, Vol 13, Iss 2 (2024)
Publication Year :
2024
Publisher :
Program Studi Keuangan dan Perbankan, Fakultas Ekonomi dan Bisnis, Universitas Komputer Indonesia, 2024.

Abstract

In today's digital age, artificial intelligence (AI) has revolutionized many sectors, including auditing and finance, with the potential to improve the efficiency and effectiveness of the audit process. However, there is limited understanding of the impact of AI implementation on financial statement transparency and external auditor reputation. This study aims to fill that knowledge gap by exploring how AI can strengthen financial statement transparency and enhance auditor reputation. The methodology used is descriptive-analytical with an empirical normative approach, collecting data through literature review and documentation. The results finds that the integration of AI in auditing significantly improves financial statement transparency, facilitates auditors in conducting more in-depth and accurate analyses, and potentially enhances the reputation of external auditors in the eyes of stakeholders. The findings confirm that AI not only improves the efficiency of the audit process but also plays a strategic role in building trust and integrity in financial reporting. The implications of this research are significant in demonstrating the importance of adapting the latest technologies to meet and exceed evolving financial and reputational expectations in the digital age.

Subjects

Subjects :
Finance
HG1-9999

Details

Language :
English, Indonesian
ISSN :
20892845 and 26559234
Volume :
13
Issue :
2
Database :
Directory of Open Access Journals
Journal :
Jurnal Ilmu Keuangan dan Perbankan
Publication Type :
Academic Journal
Accession number :
edsdoj.bded75af8002489d9cf8486b962a13e7
Document Type :
article
Full Text :
https://doi.org/10.34010/jika.v13i2.12730