首页|司法大数据证据运用中律师有效辩护的困境及其化解路径

司法大数据证据运用中律师有效辩护的困境及其化解路径

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随着大数据时代的到来,大数据证据在侦破犯罪等方面的独特优势,令其应用已然成为刑事司法实践中无法回避的环节.同时,大数据证据的运用也使得律师的有效辩护面临挑战,主要表现为:一方面,大数据证据的应用对律师阅卷权、质证权、取证权等传统权利造成冲击,律师有效辩护的空间和可能性被不断压缩和降低;另一方面,大数据证据算法运作过程的不可知引发了"算法黑箱""算法歧视""算法失灵"等问题,加大了律师的有效辩护难度.针对于此,有必要从有效辩护的前提、重点、保障入手,增加控方数据开示义务以保障律师全面而有效阅卷;合理改造律师对大数据证据的质证、取证思路以实现有针对性的有效辩护;赋予控方有限度的算法公开义务以确保律师在知情前提下实现有效辩护.
The Dilemma of Effective Defense in the Application of Judicial Big Data Evidence and Its Solutions
With the arrival of the big data era,the unique advantages of big data evidence in crime detec-tion and other aspects have made its application an unavoidable link in criminal justice practice.At the same time,the application of big data evidence also presents challenges to lawyers'effective defense,which are mainly manifested in the following aspects:for one thing,the application of big data evidence has an impact on the traditional rights of defense lawyers such as the right to review papers,the right to cross examine evidence,and the right to obtain evidence;meanwhile,lawyers'space and possibility of effective defense are constantly compressed and reduced.For another,the agnosticism of algorithm opera-tion process of big data evidence has caused problems such as"algorithm black box""algorithm discrimi-nation"and"algorithm failure"etc.,which has increased the difficulty of lawyers'effective defense.In view of this,it is necessary to start with the premise,focus and guarantee of lawyers'effective defense,to increase the disclosure obligation of the prosecution's data to ensure lawyers'comprehensive and ef-fective review of the papers;to reasonably reform lawyers'cross examination and evidence collection ide-as of big data evidence to achieve targeted effective defense,and to give the prosecution a limited obliga-tion of algorithm disclosure to ensure that lawyers can effectively defend based on their right to know.

big data evidenceeffective defencealgorithm black boxcross examinationalgorithmic discrimination

付静宇

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中国政法大学刑事司法学院,北京 100088

大数据证据 有效辩护 算法黑箱 质证 算法歧视

2024

太原理工大学学报(社会科学版)
太原理工大学

太原理工大学学报(社会科学版)

CHSSCD
影响因子:0.218
ISSN:1009-5837
年,卷(期):2024.42(1)
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