1. The application of AI in the field of finance and accounting
Intelligent Audit: Explain how AI can quickly identify audit risk points through data mining and natural language processing techniques, improving audit efficiency and accuracy.
Risk Warning: Explain how AI models can monitor financial data in real-time, predict financial risks for enterprises, and provide support for decision-making.
Financial Robots (RPA): Introduce the application of RPA in automated financial processes such as accounting processing and report generation, improving work efficiency and reducing human errors.
Tax planning: Analyze how AI can combine big data and machine learning to optimize tax strategies, reduce corporate tax costs, and ensure tax compliance.
2. Future prospects of the finance and accounting industry
Explore how AI technology can drive the transformation of the accounting industry towards intelligence and automation, and improve the overall efficiency and quality of the industry.
Analyze the impact of AI on the career structure of the finance and accounting industry, such as reducing repetitive work and increasing the demand for high-value positions such as data analysis and risk management.
3. New requirements for talent
Elaborate on the new skills required for accounting professionals in the AI era, such as data analysis, programming, and machine learning.
Provide career development advice, including learning paths, certification exams, and practical experience accumulation, to help practitioners adapt to industry changes.
4. Development prospects of finance and accounting major
Analyze how to adjust the curriculum of finance and accounting education in universities, integrate AI related courses, and cultivate versatile talents.
Explore the career development directions of finance and accounting students, such as intelligent auditors, financial data analysts, tax planning experts, etc.

On the evening of October 13th, the "AI + Accounting" professional sharing event hosted by the AAI Club came to a successful conclusion in SA164. The event attracted a large number of students. The teacher spoke on the theme of "The Development of Accounting in the AI Era."

Teacher provided an in-depth yet accessible explanation of AI's applications in accounting, including intelligent auditing, risk early-warning, financial RPA, and tax planning. He illustrated how AI can enhance the efficiency and quality of accounting work through real-world case studies. He pointed out that AI technology is driving the transformation of the accounting industry towards intelligence and automation. In the future, accounting professionals will be more involved in high-value tasks such as data analysis and risk assessment, while repetitive basic tasks will gradually be replaced. At the same time, teacher emphasized that in the AI era, accounting professionals need to acquire new skills such as data analysis, programming, and machine learning.

The interactive session was lively, with students actively asking questions about the future prospects of AI in accounting and learning pathways. Teacher patiently answered each question. This sharing event not only deepened students' understanding of the integration of AI and accounting but also provided a clear direction for their future career development.