The Impact of AI on the Quality of Financial Reports

This research examines the transformative role of the Artificial Intelligence (AI) in the financial reporting, emphasizing its effects on accuracy, timeliness, transparency, and regulatory compliance. AI technologies such as natural language processing, machine learning, and data analytics are revolutionizing traditional financial reporting processes by reducing manual effort, minimizing human errors, and enhancing predictive capabilities. Employing a mixed-methods approach, this study draws on interviews with industry professionals, academic literature reviews and industry reports. Findings reveal that AI significantly impact the accuracy and speed of financial reporting while fostering transparency and compliance. However, challenges like algorithmic bias and data privacy concerns persist. Recommendations include focusing on AI training, data governance, and continuous monitoring to maximize the AI benefits while mitigating its risks.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-01-28
DOI
https://doi.org/10.5281/zenodo.14752443
Primary Topic
Financial Reporting and XBRL
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Impact of AI on the Quality of Financial Reports

Zenodo (CERN European Organization for Nuclear Research)
Financial Reporting and XBRL
article

The Impact of AI on the Quality of Financial Reports

article en

Abstract

This research examines the transformative role of the Artificial Intelligence (AI) in the financial reporting, emphasizing its effects on accuracy, timeliness, transparency, and regulatory compliance. AI technologies such as natural language processing, machine learning, and data analytics are revolutionizing traditional financial reporting processes by reducing manual effort, minimizing human errors, and enhancing predictive capabilities. Employing a mixed-methods approach, this study draws on interviews with industry professionals, academic literature reviews and industry reports. Findings reveal that AI significantly impact the accuracy and speed of financial reporting while fostering transparency and compliance. However, challenges like algorithmic bias and data privacy concerns persist. Recommendations include focusing on AI training, data governance, and continuous monitoring to maximize the AI benefits while mitigating its risks.

Zenodo (CERN European Organization for Nuclear Research)
Police Scotland (GB), Helping Hands Monkey Helpers (US), Centre for Research and Technology Hellas (GR), Ministry of External Affairs (IN)
Openalex Percentile: Top 41%
Financial Reporting and XBRL
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

The Impact of AI on the Quality of Financial Reports · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS