Thesis Abstract

The abstract for the thesis titled "Analysis of the Impact of Artificial Intelligence on Financial Reporting in Accounting" is as follows This thesis explores the impact of artificial intelligence (AI) on financial reporting within the field of accounting. The integration of AI technologies in accounting practices has revolutionized traditional methods of financial reporting, offering numerous benefits and challenges to the industry. The study aims to investigate how AI is transforming financial reporting processes, the implications for accountants, and the overall effects on financial data accuracy and decision-making. The research begins with an introduction that sets the context for the study, followed by a detailed background of the significance of AI in accounting. The problem statement identifies the gaps in current financial reporting practices that AI can address, leading to the research objectives that guide the study. The limitations and scope of the research are also outlined, providing a framework for the investigation. The significance of the study is highlighted, emphasizing the contribution to the evolving field of accounting and the implications for industry practitioners. In chapter two, a comprehensive literature review is conducted to examine existing research on the impact of AI on financial reporting. The review covers ten key areas, including AI technologies in accounting, automation of reporting processes, data analytics, machine learning applications, and the role of accountants in the era of AI. The synthesis of these studies provides a foundation for understanding the current landscape and identifying gaps for further exploration. Chapter three details the research methodology employed in this study, encompassing eight key components such as research design, data collection methods, sampling techniques, and data analysis procedures. The methodology is structured to ensure the rigor and validity of the findings, aligning with the research objectives and guiding the investigation into the impact of AI on financial reporting practices. Chapter four presents a thorough discussion of the findings from the research, analyzing the implications of AI integration on financial reporting accuracy, efficiency, and decision-making processes. The chapter elucidates the challenges and opportunities posed by AI technologies, offering insights into the changing roles of accountants and the evolving nature of financial reporting practices in the digital age. Finally, chapter five concludes the thesis by summarizing the key findings, implications, and recommendations derived from the study. The conclusion reflects on the transformative potential of AI in financial reporting, highlighting the importance of adapting to technological advancements to enhance accounting practices and organizational performance. In conclusion, this thesis sheds light on the impact of artificial intelligence on financial reporting in accounting, offering valuable insights for industry professionals, researchers, and policymakers. The research contributes to the growing body of knowledge on AI integration in accounting, paving the way for future advancements and innovations in financial reporting practices.

Thesis Overview