Insights into Dataset and Algorithm Related Problems in Artificial Intelligence for Law

Autor: CONG Ying-nan, WANG Zhao-yu, ZHU Jin-qing
Jazyk: čínština
Rok vydání: 2022
Předmět:
Zdroj: Jisuanji kexue, Vol 49, Iss 4, Pp 74-79 (2022)
Druh dokumentu: article
ISSN: 1002-137X
DOI: 10.11896/jsjkx.210900191
Popis: With the rapid development of artificial intelligence (AI) technology, the application of AI-related technologies in law is increasedand attracts extensive attention.Specifically, AI has emerged in multiple legal scenarios such as automatic contract review and smart courts, compared with traditional artificial intelligence, its high efficiency shows its great application potential in the judicial field.However, in other scenarios such as legal judgement prediction (LJP), AI faces challenges and doubts in data analysis and algorithms, although some attempts have been made.Through analysis of the work related to legal AI, this paper summarizes the potential problems in datasets and algorithms in intelligent referees, investigates the changes in judicial progress that AI may bring and discusses whether the problems encountered by AI will affect the justice of law.Finally, this paper briefly expresses the potential solutions to the above problems, and provides insights into its future development, in the hope that AI technology will have a more systematic application in China's judicial field and contributeto the construction of socialist rule of law.
Databáze: Directory of Open Access Journals