Thesis Abstract

Abstract
The integration of artificial intelligence (AI) technologies in the field of accounting has revolutionized financial reporting processes by enhancing efficiency, accuracy, and decision-making capabilities. This thesis aims to analyze the impact of AI on financial reporting within the accounting industry. The study explores how AI applications such as machine learning, natural language processing, and robotic process automation have transformed traditional accounting practices and shaped the future of financial reporting. The research begins with a comprehensive introduction that sets the stage for understanding the significance of AI in accounting. The background of the study provides insights into the evolution of AI technologies and their adoption in the accounting sector. The problem statement highlights the challenges and opportunities associated with implementing AI in financial reporting processes. The objectives of the study focus on assessing the benefits, limitations, and implications of AI adoption in accounting practices. The literature review delves into ten key studies and academic sources that discuss the role of AI in financial reporting, emphasizing its impact on data analysis, forecasting, auditing, and compliance. The review also addresses the ethical considerations and risks associated with AI implementation in accounting. The research methodology section outlines the approach taken to investigate the impact of AI on financial reporting. It includes details on the research design, data collection methods, sample selection, and data analysis techniques. The chapter provides a robust framework for conducting empirical research and drawing meaningful conclusions. The discussion of findings chapter presents an in-depth analysis of the research results, highlighting the key trends, challenges, and opportunities identified through the study. It examines how AI technologies have improved financial reporting accuracy, reduced processing times, and enhanced decision-making capabilities for accounting professionals. In conclusion, this thesis summarizes the key findings and implications of the study on the impact of artificial intelligence on financial reporting in the accounting industry. It underscores the transformative potential of AI technologies in streamlining accounting processes, improving data accuracy, and driving strategic decision-making. The research contributes to the existing body of knowledge on AI in accounting and provides valuable insights for practitioners, policymakers, and researchers in the field. Keywords Artificial Intelligence, Financial Reporting, Accounting Industry, Machine Learning, Data Analysis, Robotic Process Automation, Decision-Making, Ethical Considerations, Research Methodology.

Thesis Overview