Artificial Intelligence Driven Accounting: Benefits, Risks, And The Road Ahead

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...

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Main Author: Kale Nilesh
Format: Article
Language:English
Published: EDP Sciences 2024-01-01
Series:ITM Web of Conferences
Subjects:
Online Access:https://www.itm-conferences.org/articles/itmconf/pdf/2024/11/itmconf_icaetm2024_01015.pdf
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author Kale Nilesh
author_facet Kale Nilesh
author_sort Kale Nilesh
collection DOAJ
description 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.
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spelling doaj-art-c5f11a7f5c2a4c70a0bce91370b1aeaf2025-08-20T02:38:05ZengEDP SciencesITM Web of Conferences2271-20972024-01-01680101510.1051/itmconf/20246801015itmconf_icaetm2024_01015Artificial Intelligence Driven Accounting: Benefits, Risks, And The Road AheadKale Nilesh0Assistant Professor, CSIBERThe 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.https://www.itm-conferences.org/articles/itmconf/pdf/2024/11/itmconf_icaetm2024_01015.pdfartificial intelligence (ai)machine learningexpert systemsautomationrobotic process automationriskschallengesai deception cycle (ai-dc)
spellingShingle Kale Nilesh
Artificial Intelligence Driven Accounting: Benefits, Risks, And The Road Ahead
ITM Web of Conferences
artificial intelligence (ai)
machine learning
expert systems
automation
robotic process automation
risks
challenges
ai deception cycle (ai-dc)
title Artificial Intelligence Driven Accounting: Benefits, Risks, And The Road Ahead
title_full Artificial Intelligence Driven Accounting: Benefits, Risks, And The Road Ahead
title_fullStr Artificial Intelligence Driven Accounting: Benefits, Risks, And The Road Ahead
title_full_unstemmed Artificial Intelligence Driven Accounting: Benefits, Risks, And The Road Ahead
title_short Artificial Intelligence Driven Accounting: Benefits, Risks, And The Road Ahead
title_sort artificial intelligence driven accounting benefits risks and the road ahead
topic artificial intelligence (ai)
machine learning
expert systems
automation
robotic process automation
risks
challenges
ai deception cycle (ai-dc)
url https://www.itm-conferences.org/articles/itmconf/pdf/2024/11/itmconf_icaetm2024_01015.pdf
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