Book

Description

Can artificial intelligence-generated evidence be trusted in criminal courts? And what legal safeguards are necessary to ensure its admissibility without compromising the rights of the accused? AI Evidence on Trial examines the legal and technical challenges surrounding the admissibility and evidentiary value of AI-generated evidence in criminal proceedings, with particular emphasis on Qatari legislation and comparative legal frameworks. The book explores the growing role of artificial intelligence in criminal investigations, the legal requirements governing digital evidence, and the challenges courts face when evaluating information produced or analysed by intelligent systems. Drawing on Qatari criminal legislation and comparative perspectives from European and other legal systems, it examines judicial discretion, the reliability and authenticity of AI-generated evidence, algorithmic transparency, and the protection of fundamental fair trial rights. Special attention is given to the risks of algorithmic bias, the difficulties associated with opaque AI systems, and the importance of human oversight in assessing technological evidence. Beyond identifying legislative and procedural gaps, the work proposes practical safeguards for the collection, verification, documentation, and presentation of AI-generated evidence, including a structured approach to maintaining the digital chain of custody. Written for legal researchers, judges, prosecutors, lawyers, policymakers, and scholars interested in artificial intelligence and criminal justice, this work contributes to the ongoing debate on how legal systems can accommodate technological innovation while preserving the fundamental principles of criminal justice.