| Generative artificial intelligence (GAI) has been widely adopted across various industries, delivering high-quality services to a vast number of users. The Implementation of the Interim Measures for the Management of Generative Artificial Intelligence Services (hereinafter "the Measures") has clearly defined the responsibilities of service providers. Based on operational workflows and regulatory requirements, the Measures carefully classify and evaluate risk provisions, identifying legal risks at the stages of data input, machine learning, output generation, and external oversight, while also categorizing the types and levels of such risks. To achieve comprehensive risk governance, this study proposes specific governance strategies based on the four core elements of GAI: data, algorithms, platforms, and integration. These strategies include strengthening data supervision, enhancing data quality, embedding regulatory algorithms, addressing platform development and hardware deficiencies, and facilitating human-system integration as well as system-system integration. Through these measures, service providers can more effectively control and diversify risks, ensure the healthy development and application of GAI, and further drive the prosperity and progress of the service industry. |