| Issue |
ITM Web Conf.
Volume 68, 2024
2024 First International Conference on Artificial Intelligence: An Emerging Technology in Management (ICAETM 2024)
|
|
|---|---|---|
| Article Number | 01015 | |
| Number of page(s) | 10 | |
| Section | Engineering Technology & Management | |
| DOI | https://doi.org/10.1051/itmconf/20246801015 | |
| Published online | 12 December 2024 | |
Artificial Intelligence Driven Accounting: Benefits, Risks, And The Road Ahead
Assistant Professor, CSIBER, Kolhapur, India.
* Nilesh Kale: nileshkaleindia@gmail.com
The digital revolution has peaked with AI infusion in the workspace. This has caused immense convenience to the people who use AI tools for their everyday tasks. The same has potential risks associated with AI’s existence. This study explores the use of AI in accounting, auditing and finance sector and how it could impact the accounting procedures and financial operations. This is an exploratory study based on secondary data collected to give analytical evidence to the theoretical ideas proposed. This study proposes to answers the questions like can we use AI to detect accounting frauds? Will it raise complications? The study also proposes AI Deception Cycle (AI-DC) where AI enters into a puzzle created by itself and fails to work on it. This study aims at identifying major challenges and offer theoretical ways that accounting and finance experts can practice in order to mitigate risks as they exploit the use of AI effectively in their operations.
Key words: Artificial Intelligence (AI) / Machine Learning / Expert Systems / Automation / Robotic Process Automation / Risks / Challenges / AI Deception Cycle (AI-DC)
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.