Application and Constraint of Illegal Evidence Exclusion in AI Service

Application and Constraint of Illegal Evidence Exclusion in AI Service

Authors

  • Leng Ling School of Humanities And Law, China University of Petroleum (East China), Qingdao 266000, China

DOI:

https://doi.org/10.53469/wjimt.2023.06(06).08

Keywords:

Exclusion of Illegal Evidence, Intelligence Inspection, Procuratorial Big Data, Inspection Fine

Abstract

With the progress of scientific and technological means, emerging technologies such as AI algorithm and big data mining technology continue to provide strong support for the development of procuratorial work. In the field of illegal evidence exclusion, in addition to seeing the enabling prospect provided by AI, it is also necessary to fully realize a series of technical constraint principles that AI enables the exclusion of illegal evidence. At the same time, a series of prerequisite problems existing in basic theory also need to be fully sorted out and studied before the application and promotion of the exclusion of illegal evidence enabled by AI. Finally, it is necessary to form a refined working mechanism for the exclusion of illegal evidence, including the hierarchical mechanism of normal exclusion and abnormal exclusion, the specific work flow of "machine preliminary screening, business qualitative, case management analysis, and notification of the prosecution Commission" and the hierarchical management mechanism.

References

Huang Zhengxian . Between Legality and Authenticity--On the Exclusionary Logic of the Exclusionary Rule of Illegal Evidence in Our Country. Party and Government Cadre Journal, 2021, vol.11, no.2, p.50-57.

Xie Yu and Xie Yi . Emotional Absence and Regression of Technical Governance in the Age of Big Data. Research on Dialectics of Nature, 2022, vol.38, no.1, p. 124-128.

Zheng Xi . Research on Data Security Protection in Criminal Justice. Oriental Methodology,2021, vol.13, no.5, p. 80-92.

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Published

2023-12-29
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