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刑事侦查中生成式人工智能的应用风险及防范路径

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在刑事侦查中,生成式人工智能能够辅助侦查部门进行案件定性和研判,在审讯中验证言辞证据,识别犯罪嫌疑人,协助涉案资金的查控.当前,生成式人工智能在应用中仍然存在主体地位不明、算法偏差、数据安全以及伦理和道德风险等问题.为了有效防范生成式人工智能在刑事侦查中的应用风险,公安部门需建立和完善治理框架,构建多主体合作治理体系,并设立专门的生成式人工智能监管机构.
The Application Risks and Preventive Measures of Generative Artificial Intelligence in Criminal Investigation
In criminal investigation,generative AI assists investigative departments in case classification and assessment,validates testimonial evidence during interrogations,identifies su-spects,and aids in tracking illicit funds.However,current applications of generative AI still face challenges such as ambiguous accountability,algorithmic biases,data security concerns,and eth-ical and moral risks.To effectively mitigate the risks associated with the use of generative AI in criminal investigations,public security departments need to establish and refine governance fra-meworks,build multi-stakeholder governance structures,and establish dedicated regulatory bod-ies for generative AI.

Generative AICriminal InvestigationApplication ModelData Security

徐鹏、王善华

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浙江警察学院侦查系,浙江 杭州 310053

宁海县公安局经侦大队,浙江 宁海 315600

生成式人工智能 刑事侦查 应用模式 数据安全

2024

湖北警官学院学报
湖北警官学院

湖北警官学院学报

影响因子:0.203
ISSN:1673-2391
年,卷(期):2024.37(6)