The Dilemma and Path Optimization of Criminal Law Regulation for Generative Artificial Intelligence Deep Forgery

Abstract

The rapid development and inclusion of generative Artificial Intelligence (AI) technology have greatly reduced the threshold of deep forgery production. Its abuse has posed multidimensional and deep-seated harm to civil rights, social order and even national security. The intervention of criminal law has become inevitable and urgent. In judicial practice, the application of charges is diversified and inconsistent. Due to the lack of distinction between the essence of deep forgery, the application of law is fragmented, which leads to differences in the standards of conviction and sentencing, and different judgments in the same case. At the same time, the existing provisions of criminal law have significant limitations, which are reflected in the obvious application obstacles and legislative lag when dealing with the problem of deep forgery of generative AI. In view of the above problems, the article proposes to optimize the path of criminal law regulation from the two aspects of legislation and justice, expand the interpretation of charges in legislation, unify the judgment standards in justice, and improve the regulation efficiency. Through the above means, people can enhance the credibility and effectiveness of criminal law regulation and build a deep counterfeiting criminal law response system in the era of generative AI.