Application of Artificial Intelligence and Machine Learning in Accounting and Auditing

Financial accounting and auditing procedures have undergone a revolutionary transformation due to the rapid advancement of technology and innovation, presenting significant opportunities to enhance efficiency, accuracy, and transparency. In this dynamic landscape, machine learning (ML), data analytics, and artificial intelligence (AI) have emerged as indispensable tools. These technological advancements empower financial professionals to swiftly deliver precise financial information, enhance decision-making, and expedite operations. Utilizing AI and ML techniques is paramount in improving accounting and auditing procedures. By automating laborious processes such as data input and reconciliation, errors are reduced, and productivity is heightened. AI and ML systems possess the capability to swiftly and reliably identify trends, anomalies, and potential fraud by analyzing vast volumes of financial data. By harnessing real-time monitoring and predictive analytics capabilities, financial professionals can effectively manage risks and make well-informed decisions. Furthermore, incorporating AI and ML in auditing elevates the quality of audits by providing profound insights, detecting non-compliance, and strengthening fraud detection mechanisms. This engenders trust in the accounting profession and fosters more accurate financial reporting. The present study offers a comprehensive review of the literature on the utilization of AI and ML in accounting and auditing. The findings encompass the cost-reducing effect of AI-based supplier audits, the superior predictive capacity of nonlinear models in forecasting stock volatility compared to linear models, and the enhanced efficiency of accounting and auditing through the integration of AI and ML. Moreover, AI augments the auditing process and automates workflows, while ML facilitates projections of stock performance and facilitates fraud identification.

کلیدواژه ها:

Artificial Intelligence (AI) ، Machine Learning (ML) ، Accounting ، Auditing ، Finance