Generative AI & Governmental Financial Reporting

This course explores how Generative AI, particularly Large Language Models (LLMs), can transform governmental reports and accounting practices. You will learn how AI can optimize financial data extraction, improve decision-making, and enhance the efficiency of accounting processes. The course addresses key questions such as: • How can LLMs be used to process and analyze financial reports? • What are the challenges of implementing AI in accounting? • How can AI-driven frameworks improve accuracy and efficiency in financial reporting? By the end of the course, you’ll understand how AI-powered tools can automate data extraction, integrate workflows, and improve financial decision-making. This course is designed for: • Accounting and finance professionals looking to integrate AI into their workflows. • Governmental financial analysts and auditors handling large datasets. • AI and data science professionals interested in applications of LLMs in financial reporting. • Students and researchers in accounting, finance, or AI-related fields. Learners with any background are welcome. However, Basic knowledge of accounting principles and financial reporting, familiarity with AI concepts and programming (e.g., Python) are recommended

• Understand the role of AI and LLMs in modern accounting practices
• Utilize LLMs to extract structured financial data from unstructured reports
• Evaluate accuracy and efficiency of AI-enabled data extraction frameworks

• Basic familiarity with the topic and its common terminology
• Readiness to practice through applied exercises or case-based work