International Journal of Technology and Applied Science

E-ISSN: 2230-9004   •   Impact Factor: 9.914

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Artificial Intelligence in Accounting Opportunities and Ethical Challenges

Author(s) Dr. P. M. Shiva Prasad
Country India
Abstract Artificial Intelligence (AI) is rapidly transforming the accounting profession by automating routine tasks, enhancing decision-making, and improving the accuracy and efficiency of financial reporting. This article explores the opportunities and ethical challenges associated with the integration of AI in accounting practices. The study highlights how AI technologies such as machine learning, natural language processing, and robotic process automation are reshaping traditional accounting functions including auditing, taxation, financial analysis, and fraud detection. While AI offers significant benefits such as cost reduction, real-time reporting, predictive analytics, and improved compliance, it also raises critical ethical concerns. These include data privacy risks, algorithmic bias, lack of transparency in decision-making processes, and potential job displacement among accounting professionals. The paper further emphasizes the need for a balanced approach where technological advancement is aligned with ethical governance and professional standards. The research is based on secondary data collected from scholarly journals, professional reports, and academic publications related to AI in accounting. The findings suggest that although AI enhances the efficiency and strategic value of accounting, its ethical implications must be carefully managed through regulatory frameworks, professional guidelines, and continuous skill development of accountants. The study concludes that AI should be viewed as a complementary tool rather than a replacement for human judgment in accounting practices.
Keywords Artificial Intelligence, Accounting, Ethical Challenges, Automation, Machine Learning, Financial Reporting, Digital Transformation
Field Mathematics > Economy / Commerce
Published In Volume 16, Issue 2, February 2025
Published On 2025-02-12
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Crossref DOI prefix of IJTAS is 10.71097/IJTAS

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