Using artificial intelligence to enhance the performance of the Iraqi accounting and auditing sector

Abstract

 This research aims to analyze the extent to which artificial intelligence (AI) technologies are employed to enhance the performance of the financial and regulatory sectors in Iraq. The study adopts a field-based approach through a structured questionnaire distributed to a sample of 63 individuals, including accountants and employees working in the non-profit public sector, as well as academics and specialists in accounting and oversight. The researcher employed both inductive and deductive methods, with data analyzed using the Statistical Package for the Social Sciences (SPSS). The statistical techniques applied included: mean, standard deviation, Cronbach’s alpha for reliability, Pearson’s correlation coefficient, and linear regression analysis to test the study’s hypotheses.

The findings indicate that AI contributes significantly to improving accounting and regulatory performance by accelerating procedures, reducing errors, and increasing transparency. However, the adoption of these technologies remains limited in some institutions due to challenges such as inadequate infrastructure, lack of legislation, and shortage of qualified personnel. The results further confirm a strong positive and statistically significant relationship between the adoption of AI technologies and enhanced financial and regulatory performance, especially in the presence of promising opportunities and policy recommendations.

The study recommends adopting a comprehensive national strategy for AI implementation, issuing clear regulatory frameworks, developing continuous training programs for staff, and integrating AI concepts into relevant academic curricula, thereby strengthening the sustainability of financial and regulatory development in Iraq.