Thesis Abstract

Abstract
The integration of artificial intelligence (AI) technologies in financial reporting has revolutionized the accounting industry, offering new possibilities for efficiency, accuracy, and insights. This thesis examines the impact of AI on financial reporting in accounting, focusing on how these technologies are reshaping traditional practices and processes. The research delves into various aspects of AI implementation in financial reporting, including data analysis, automation, and decision-making support. The study begins with an exploration of the theoretical foundations and background of AI in accounting, highlighting the evolution of technology and its implications for financial reporting practices. The problem statement identifies current challenges and opportunities arising from the adoption of AI in financial reporting, setting the stage for the research objectives to investigate the specific impacts and outcomes of AI integration. Through a comprehensive literature review, this thesis synthesizes existing research and scholarly works on AI in financial reporting, analyzing key themes, trends, and findings. The review covers topics such as machine learning algorithms, robotic process automation, natural language processing, and cognitive computing, providing a comprehensive overview of the current state of AI applications in accounting. The research methodology section outlines the approach and methods used to investigate the impact of AI on financial reporting. The study employs a mixed-methods research design, combining qualitative and quantitative data collection techniques to gather insights from accounting professionals, AI experts, and industry stakeholders. Data analysis methods include statistical analysis, thematic coding, and content analysis to identify patterns, trends, and correlations in the data. The discussion of findings chapter presents the results of the research, highlighting the key findings, insights, and implications of the study. The analysis explores the benefits and challenges of AI adoption in financial reporting, examining how these technologies are transforming accounting practices, enhancing decision-making processes, and improving reporting accuracy and timeliness. In conclusion, this thesis summarizes the key findings and contributions of the research, highlighting the significance of AI in financial reporting and its potential to drive innovation and efficiency in the accounting industry. The study underscores the importance of embracing AI technologies as a strategic tool for enhancing financial reporting practices and staying competitive in a rapidly evolving digital landscape. Overall, this thesis provides a comprehensive analysis of the impact of artificial intelligence on financial reporting in accounting, offering insights, recommendations, and implications for accounting professionals, researchers, and industry practitioners. The research contributes to the ongoing dialogue on the role of AI in transforming accounting practices and shaping the future of financial reporting.

Thesis Overview