An analysis of the Use of Artificial Intelligence in Enhancing the Quality of Financial Reporting for the Industrial Sector in the Kurdistan Region of Iraq

The world is currently witnessing significant advancements in artificial intelligence (AI) technology, which have profoundly impacted various sectors, including accounting. AI is distinguished by its ability to learn, adapt to changing environments, and make decisions without direct human intervention. This study aims to analyze the impact of AI applications on enhancing the quality of financial reporting within the industrial sector in the Kurdistan Region of Iraq. The research focuses on tools such as machine learning, deep learning, neural networks, expert systems, and the Internet of Things to understand their role in improving data accuracy, reducing errors, and enhancing transparency. Electronic surveys were utilized to collect data from industrial companies in the region. The findings reveal that AI significantly improves the efficiency of financial reporting by accelerating data processing, identifying anomalies, and detecting fraudulent activities. Furthermore, AI contributes to the production of transparent and comprehensive reports that enable stakeholders to make informed decisions. Despite these benefits, challenges persist, including concerns over data privacy and security, as well as the necessity of advanced technological infrastructure. The study recommends adopting strategic approaches to ensure the responsible use of AI, while addressing security issues and maximizing its potential to enhance financial reporting quality.