Thesis Abstract

Abstract
The integration of artificial intelligence (AI) into financial statement analysis within the accounting domain has been a subject of increasing interest and importance. This thesis aims to explore the impact of AI technologies on the process of financial statement analysis in accounting, with a focus on understanding the implications for accuracy, efficiency, and decision-making within the field. The study investigates how AI tools and techniques are transforming traditional financial statement analysis practices, and the potential benefits and challenges associated with this transformation. The research methodology employed a mixed-methods approach, combining quantitative analysis of financial data with qualitative interviews and surveys to gather insights from accounting professionals and experts in AI technology. The study identified key trends, opportunities, and risks associated with the adoption of AI in financial statement analysis, shedding light on the current state of the industry and potential future developments. Findings from the research indicate that AI technologies have the potential to significantly enhance the accuracy and efficiency of financial statement analysis processes. Automated data collection, pattern recognition, and predictive analytics capabilities offered by AI tools enable accountants and financial analysts to generate insights and make informed decisions more effectively. However, challenges such as data privacy concerns, algorithm bias, and the need for upskilling and reskilling of accounting professionals pose potential barriers to the widespread adoption of AI in financial statement analysis. The discussion of findings delves into the implications of these results for accounting practice, education, and regulation. It highlights the importance of ethical considerations and human oversight in AI-augmented financial statement analysis, emphasizing the need for a balanced approach that leverages the strengths of AI while mitigating its limitations and risks. In conclusion, this thesis presents a comprehensive analysis of the impact of AI on financial statement analysis in accounting, offering insights into the opportunities and challenges that arise from this technological advancement. The study contributes to the existing literature by providing a nuanced understanding of the transformative potential of AI in the accounting profession, and proposes recommendations for practitioners, educators, and policymakers to navigate this evolving landscape effectively.

Thesis Overview