首页|司法人工智能在证据审查中的功能定位与风险规制

司法人工智能在证据审查中的功能定位与风险规制

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人工智能在司法活动中应用的重要领域之一就是证据审查.人工智能为证据审查提供科技赋能,减少司法裁判的恣意性,提高证据审查的实效性,但是,人工智能在证据审查中的应用存在证据审查建构模型数据样本不充分、证据规则结构化转换不完整、证据审查程序缺乏可视性等风险和问题.为了应对人工智能在证据审查中的上述风险,需要明确人工智能在司法审判和证据审查中的辅助地位,提高司法人工智能训练的案例样本数量和质量,在技术层面提升人工智能自然语言转换能力,在规则层面限定司法人工智能在证据审查中的适用范围,将专家辅助人制度引入司法人工智能审查证据领域,强化对司法人工智能审查证据结果的说理论证.
Function Status and Risk Regulation of Judicial Artificial Intelligence:In Evidence Review's Boundary
One of the important applications of artificial intelligence injudicial activities is evidence review.Artifi-cial intelligence provides scientific and technological capabilities for evidence review,reduces the arbitrariness of judicial judgment,and improves the effectiveness of evidence review.However,the application of artificial intelligence in evi-dence review has some risks and problems,such as insufficient case samples for constructing evidence mode,incomplete structural transformation of evidence rules and lack of visual justice in evidence review procedures.In order to cope with the above risks of artificial intelligence in evidence review,it is necessary to clarify the auxiliary status of artificial intelli-gence in judicial trial and evidence review,improve the quantity and quality of the case samples of judicial artificial intel-ligence training,elevate the natural language conversion ability of artificial intelligence at the technical level,limit the application scope of judicial artificial intelligence in evidence review at the rule level,introduce the expert assistant sys-tem into the field of judicial artificial intelligence in evidence review,and strengthen the reasoning and demonstration of judicial artificial intelligence evidence review results.

judicial artificial intelligenceevidence reviewstandard of evidencerule of evidencethe algorithm interpretation

谢登科、周鸿飞

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吉林大学理论法学研究中心

吉林大学法学院 长春130012

司法人工智能 证据审查 证据标准 证据规则 算法解释

国家社会科学基金重大项目证据科学教育部重点实验室(中国政法大学)开放基金

18ZDA1392022KFKT04

2024

吉林大学社会科学学报
吉林大学

吉林大学社会科学学报

CSTPCDCSSCICHSSCD北大核心
影响因子:1.224
ISSN:0257-2834
年,卷(期):2024.64(3)
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