中国工程科学2024，Vol.26Issue(1)：190-201,12.DOI:10.15302/J-SSCAE-2024.07.004
面向环境司法智能审判场景的人工智能大模型应用探讨
Application of Artificial Intelligence Large Language Model for Smart Environmental Judicial Adjudication
摘要
Abstract
Environmental judicial adjudication is an essential component of the eco-environment governance system.The artificial intelligence large language model(AI-LLM),developed based on generative artificial intelligence,has offered significant opportunities for the environmental judicial adjudication to develop toward a higher level of smart adjudication.This study aims to promote the integration of AI-LLM technology with environmental judicial adjudication and promote the intelligent development of the environmental judicial adjudication.It explores the role and practical applications of AI-LLM in environmental judicial adjudication and summarizes prominent problems such as poor data quality,bias caused by algorithmic opacity,and limited capabilities for deep application.Using eco-environmental protection cases as an example,this study establishes a smart environmental judicial adjudication system based on AI-LLM and elaborates on the architecture design of the system and the technical elements involved.Furthermore,it proposes the following suggestions to promote the intelligent development of environment judicial adjudication:(1)emphasizing top-level design and establishing a high-end think tank for environmental justice;(2)building an environmental justice data center to improve the judicial data standards system;(3)establishing an algorithmic governance mechanism to promote the fairness and justice in environmental judicial adjudication;and(4)improving the multiple accountability mechanism for environmental justice to strengthen the judicial supervision and management system.关键词
环境司法/智能审判体系/AI大模型/生成式人工智能Key words
environmental justice/smart adjudication system/artificial intelligence large language model/generative artificial intelligence分类
信息技术与安全科学引用本文复制引用
陈晓红,陈姣龙,胡东滨,梁伟..面向环境司法智能审判场景的人工智能大模型应用探讨[J].中国工程科学,2024,26(1):190-201,12.基金项目
国家重点研发计划项目(2020YFC0832700) National Key R&D Program of China(2020YFC0832700) （2020YFC0832700）
