Data Risk and Data Compliance Governance for Generative Artificial Intelligence

Generative Artificial Intelligence (Generative AI), being a revolutionary technology, has exhibited varied uses across industries. However, its rapid development has also brought with it high data risks, including leakage of privacy, unauthorized access to data, improper processing of data, abuse of data, infringement of intellectual property rights, and creation of counterfeit information. This paper systematically reviews such risks and explores the current status of generative AI in global and Chinese data compliance regulation. Clarifying existing regulations and highlighting the main challenges, this study presents solutions for enhancing awareness of data privacy protection, enhancing data usage authorization management, enhancing data storage and security functions, and strengthening international cooperation and standardization. The findings suggest the necessity of sound data compliance governance towards the long-term evolution of generative AI and emphasize the need for multidimensional data governance that brings technology, law, and ethics into harmonious alignment.