Leveraging AI-Evidence in Money Laundering Cases in Mexico: its Rules of Evidence (according to SCJN’s resolutions)
[Purpose] To analyzethe admissibility of AI-generated evidence in money laundering cases in Mexico, with an emphasis on how this type ofevidence might be evaluated underexisting SCJNresolutions.[Methodology/approach/design]Thisresearchusesa qualitativemethodology, utilizing a comprehensive lit...
Saved in:
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Universidade de Brasília
2025-05-01
|
| Series: | Revista de Direito, Estado e Telecomunicações |
| Subjects: | |
| Online Access: | https://periodicos.unb.br/index.php/RDET/article/view/54403 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | [Purpose] To analyzethe admissibility of AI-generated evidence in money laundering cases in Mexico, with an emphasis on how this type ofevidence might be evaluated underexisting SCJNresolutions.[Methodology/approach/design]Thisresearchusesa qualitativemethodology, utilizing a comprehensive literature review of the SCJN’s judicial resolutionsregarding evidence in money laundering cases. While nocases involving AI-generated evidence were found, the researchexaminescurrent legalprinciples to anticipatehow suchevidence might be evaluatedundertheMexicanlegal system.[Findings]Theresearch showsthat, althoughthe SCJN has not yet addressedcases involving AI-generated evidence, existing legal guidelines provide a foundationfor determining itsadmissibility. These findings provide a structured approach for the potential future evaluation of AI evidence in Mexican courts.[Practical implications]The findingsof this researchcan helplegal professionals, including judges and lawyers, understand how AI-generated evidence canbe evaluatedunderthe current legal framework. Thesefindings will help shapefuture legal practicesregardingthe use ofAI inthe collection ofevidence inmoney laundering cases.[Originality/value]This paper is amongthe firstto explorethe admissibility of AI-generated evidence within the Mexican legal system, providing valuable insights for legal professionals and policymakers on how AI technology aligns with legal evidentiary standards in money launderingcases. |
|---|---|
| ISSN: | 1984-9729 1984-8161 |