Thesis Abstract

Abstract
The integration of artificial intelligence (AI) in financial statement auditing processes has emerged as a significant area of interest and research in the accounting field. This thesis delves into the impact of AI on financial statement auditing processes, exploring its implications for auditors, firms, and the overall auditing profession. The objective of this study is to analyze how AI technologies are transforming traditional auditing methods, enhancing audit quality, and addressing challenges in audit efficiency and effectiveness. Chapter One provides an introduction to the topic, highlighting the background of the study, problem statement, objectives, limitations, scope, significance, structure of the thesis, and key definitions. The chapter sets the foundation for understanding the importance of AI in financial statement auditing and outlines the research framework. Chapter Two presents a comprehensive literature review that examines existing studies, theories, and empirical evidence related to AI in auditing. The review covers ten key areas, including the evolution of AI in auditing, the benefits and challenges of AI adoption, AI tools and techniques in auditing, and the impact of AI on audit quality and risk assessment. Chapter Three focuses on the research methodology employed in this study. The chapter outlines the research design, data collection methods, sampling techniques, data analysis procedures, and ethical considerations. It also discusses the selection of research participants and the rationale behind the chosen methodology. Chapter Four presents an in-depth discussion of the research findings, drawing on both qualitative and quantitative data. The chapter explores how AI technologies are reshaping auditing practices, improving audit accuracy, detecting anomalies, and enhancing decision-making processes. The findings also highlight the implications of AI integration for auditors, firms, and stakeholders. Chapter Five concludes the thesis by summarizing the key findings, implications, and contributions of the study. The chapter offers recommendations for auditors and firms looking to leverage AI technologies in auditing processes and suggests areas for future research in the field. Overall, this thesis contributes to the growing body of knowledge on the transformative impact of AI on financial statement auditing processes and provides valuable insights for practitioners and researchers in the accounting profession.

Thesis Overview