"The Legal Authority of Artificial Intelligence-Based Evidence in Judicial Proof " | ||||
| مجلة البحوث الفقهية والقانونية | ||||
| Articles in Press, Accepted Manuscript, Available Online from 05 September 2025 | ||||
| Document Type: المقالة الأصلية | ||||
| DOI: 10.21608/jlr.2025.408102.1796 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
هالة احمد بحر   ; اكمل رمضان
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| كلية القانون جامعة المدينة عجمان | ||||
| Abstract | ||||
| حجية الأدلة بتقنية الذكاء الاصطناعي في الإثبات القضائي "The Legal Authority of Artificial Intelligence-Based Evidence in Judicial Proof " Academic Summary in English: The integration of artificial intelligence technologies into criminal evidence collection represents a significant paradigm shift in judicial practice. Tools such as machine learning and big data analytics enable the identification of hidden patterns and the extraction of precise indicators from various digital sources including smart surveillance and mobile devices. However, these advancements raise critical legal concerns about the admissibility of AI-generated evidence, particularly in light of the exclusionary rule, which mandates the legal acquisition of evidence. Judicial assessment of such evidence now requires not only a legal understanding but also a deep technical grasp of how the data is generated and processed. Legislatively, many legal systems lag behind in establishing robust frameworks that govern the legality of AI-assisted evidence collection especially in cases involving non-consensual data gathering or uncertain data provenance. This regulatory vacuum places immense responsibility on the judiciary to reconcile the efficiency of modern technology with constitutional protections such as the right to privacy and fair trial. Consequently, the study emphasizes the need to formulate comprehensive legal structures that define clear standards for AI use, ensuring that its deployment remains consistent with fundamental criminal justice principles. | ||||
| Keywords | ||||
| Legal; Authority; Artificial; Intelligence; Evidence | ||||
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