Thesis Abstract

Abstract
Artificial Intelligence (AI) has revolutionized various industries, and the accounting sector is not an exception. This thesis explores the impact of AI on financial reporting in the accounting industry. The study aims to analyze how AI technologies, such as machine learning algorithms, natural language processing, and robotic process automation, are transforming financial reporting processes. Chapter 1 provides an introduction to the research topic, background information, the problem statement, objectives, limitations, scope, significance of the study, and the structure of the thesis. Chapter 2 consists of a comprehensive literature review covering ten key areas related to AI in financial reporting. The review examines existing studies, theories, and frameworks that discuss the application of AI in accounting processes, financial reporting quality, decision-making, and regulatory compliance. Chapter 3 outlines the research methodology employed in this study. It includes the research design, data collection methods, sampling techniques, data analysis procedures, and ethical considerations. The chapter also discusses the limitations of the methodology and strategies to enhance the validity and reliability of the findings. In Chapter 4, the findings of the study are presented and discussed in detail. The analysis focuses on the impact of AI on financial reporting accuracy, timeliness, transparency, and efficiency. It also explores the challenges and opportunities associated with integrating AI technologies into accounting practices. Chapter 5 concludes the thesis by summarizing the key findings, implications of the research, and recommendations for future studies. The study underscores the significance of embracing AI in financial reporting to enhance decision-making, reduce errors, and improve overall organizational performance in the accounting industry. Keywords Artificial Intelligence, Financial Reporting, Accounting Industry, Machine Learning, Natural Language Processing, Robotic Process Automation, Decision-making, Accuracy, Efficiency, Regulatory Compliance.

Thesis Overview