Legal Regulation of Generative Artificial Intelligence Data Risk
With the disruptive development of generative artificial intelligence(AI)technology,genera-tive softwares based on the application of big data models,represented by ChatGPT,not only improve the quality of real life and work,but also create a lot of data risks in various stages of operation.However,there are still many deficiencies in existing laws regulating generative AI data risk in China,such as non-uniform responsibility system,unclear risk prevention obligations,and imperfect supervision mecha-nism.From the perspective of classification and hierarchy,it is proposed that responsibilities and obliga-tions of various subjects should be reasonably coordinated,administrative responsibilities,civil responsi-bilities and criminal responsibilities should be stipulated,and a data risk prevention system should be built by means of clarifying rights and obligations.In accordance with the development of generative AI technology,it is advisable to timely enrich regulatory approaches through such ways as establishing regu-latory buffer zones,and to reasonably connect private and government complaints and reporting mecha-nism,in order to achieve a comprehensive regulation of generative AI data risk.
generative AIdata risklegal regulationimprovement path
NETL
NSTL
万方数据
维普
