Applications of Generative Artificial Intelligence in the Judiciary: The Case of ChatGPT

Abstract

With the advancement of technology, generative AI systems, especially models like ChatGPT, show significant potential for development in future smart court systems. Traditional adjudication models are dominated by judges, but with the intervention of AI, algorithms and data will jointly influence the entire adjudication process. The quality of data governance will directly impact the outcomes of judicial cases. By exploring the application of ChatGPT in judicial decision support and analyzing its data processing advantages, usability, feedback capability, and trainability, we can see how these factors facilitate the judicial decision-making process. The efficient and precise algorithms, combined with vast amounts of data, demonstrate ChatGPT’s superiority in processing and analyzing legal information. Undoubtedly, the application of AI technology can greatly improve judicial efficiency and promote the progress of smart adjudication. However, judicial decision-making is not merely a mechanical, data-driven process. The application scenarios of generative AI systems also face numerous challenges, including data deficiencies and the issue of generating hallucinations.