Thesis Abstract

Abstract
The integration of artificial intelligence (AI) in financial reporting has revolutionized the banking sector, offering new opportunities and challenges. This thesis explores the impact of AI on financial reporting within the banking industry. The study delves into the potential benefits and risks associated with the adoption of AI in financial reporting processes, focusing on efficiency, accuracy, and decision-making capabilities. Through a comprehensive literature review, the research examines how AI technologies such as machine learning, natural language processing, and predictive analytics are reshaping financial reporting practices in banks. The research methodology involves a mixed-methods approach, combining quantitative analysis of financial data with qualitative interviews and surveys with industry experts and banking professionals. The study aims to identify key trends and patterns in the implementation of AI in financial reporting and assess its implications for financial performance and regulatory compliance. Additionally, the research investigates the challenges and limitations faced by banks in integrating AI into their financial reporting systems. The findings reveal that AI tools have significantly improved the speed and accuracy of financial reporting processes in the banking sector, leading to enhanced decision-making and risk management capabilities. However, concerns about data privacy, cybersecurity, and ethical considerations emerge as critical issues that need to be addressed in the adoption of AI technologies. The study also highlights the importance of human oversight and expertise in ensuring the integrity and reliability of AI-driven financial reporting systems. In conclusion, this thesis provides valuable insights into the transformative impact of AI on financial reporting practices in the banking sector. By understanding the opportunities and challenges presented by AI technologies, banks can harness the power of AI to drive innovation and competitiveness while mitigating potential risks. The research contributes to the existing knowledge base on AI in financial reporting and offers practical recommendations for banks looking to leverage AI for sustainable growth and success in the digital era.

Thesis Overview