政务培训| 未可知 x 湖州税务: AI在税收科研领域的运用与实战

Core Viewpoint - The training session organized by the Huzhou Taxation Bureau aimed to enhance the efficiency and innovation capabilities of tax research through the application of artificial intelligence tools, receiving positive feedback from participants [1][4]. Group 1: Training Overview - The training featured a lecture by Zhang Ziming, Vice President of the Unseen AI Research Institute, focusing on the application of AI in tax research [1][3]. - Zhang Ziming has a strong academic background and practical experience in AI, having contributed to national guidelines and authored several popular books on AI [3]. - The training covered various AI technologies, including text generation, audio synthesis, image creation, and video generation, and their practical applications in tax research [3]. Group 2: Practical Applications - AI tools can efficiently complete tasks such as policy analysis, data analysis, and research design, exemplified by the automatic generation of timelines for tax policy changes and quick aggregation of industry tax burden rates [3]. - A practical case study on "risk of false invoicing in the textile industry" demonstrated how to design risk control models using invoice field indicators [3]. - Participants experienced the DeepSeek tool, which showcased AI's ability to shorten research cycles and reduce labor costs [3]. Group 3: Future Directions - The Unseen AI Research Institute aims to continue its collaboration with tax departments to promote the integration of AI in tax modernization [4]. - The training not only improved the AI application skills of tax personnel but also opened new pathways for intelligent tax research in Huzhou [4]. - The institute plans to provide ongoing insights and support for various industries to embrace the AI revolution [4].