Thesis Abstract

Abstract
The integration of artificial intelligence (AI) into accounting practices has been a transformative force in the financial reporting landscape. This thesis investigates the impact of AI on financial reporting accuracy within the field of accounting. The study explores how advancements in AI technologies have influenced traditional accounting processes and the reliability of financial reports. The research methodology involves a comprehensive literature review, data collection, and analysis to evaluate the implications of AI implementation in accounting settings. Chapter One provides an introduction to the study, presenting background information on the evolution of AI in accounting and highlighting the significance of the research. The problem statement identifies the gaps in existing literature regarding the effects of AI on financial reporting accuracy, leading to the research objectives that aim to address these gaps. The limitations and scope of the study are outlined, along with the significance of the research and the structure of the thesis. Chapter Two comprises a detailed literature review that examines ten key themes related to AI and financial reporting accuracy in accounting. The review synthesizes existing knowledge on the subject, highlighting the theoretical frameworks, methodologies, and findings of previous studies in this area. Chapter Three focuses on the research methodology employed in this study, detailing the research design, data collection methods, sampling techniques, and data analysis procedures. The chapter also discusses ethical considerations and limitations associated with the research methodology. Chapter Four presents a comprehensive discussion of the research findings, analyzing the impact of AI on financial reporting accuracy in accounting. The chapter examines the implications of AI technologies on accounting practices, the quality of financial information, and the role of accountants in leveraging AI tools for improved reporting accuracy. Chapter Five concludes the thesis by summarizing the key findings, implications, and contributions of the study. The conclusion reflects on the broader implications of AI integration in accounting and offers recommendations for future research and practice in the field. Overall, this thesis contributes to the understanding of how AI influences financial reporting accuracy in accounting and provides insights into the evolving role of technology in shaping the accounting profession.

Thesis Overview