Digital Witnesses: The Role of AI-Generated Data in the Analysis of Evidence and the Establishment of the Elements of Intentional Homicide

Abstract

The expansion of artificial intelligence technologies has generated a fundamental transformation in the detection and proof of crimes, particularly complex offenses such as intentional homicide. This study aims to analyze the evidentiary role of artificial intelligence as a digital witness in establishing the material and mental elements of intentional homicide, while also examining the emerging legal and ethical challenges arising from this transformation. The central question is how AI-based evidence can contribute to establishing criminal conduct, causation, and criminal intent, and what obstacles and risks accompany this process. This article adopts a descriptive–analytical method and an interdisciplinary approach, integrating criminal law, information technology, and ethics. The required data were collected through a review of library-based sources, analysis of emerging judicial decisions in advanced legal systems, and examination of technical reports and reputable studies in the fields of artificial intelligence and digital criminology. The findings indicate that artificial intelligence, through tools such as computer vision (crime scene reconstruction), natural language processing (intent analysis from textual data), and advanced data analytics (digital tracing), is capable of generating otherwise inaccessible evidence and uncovering hidden patterns, thereby potentially enhancing the accuracy and efficiency of the evidentiary process. However, this technology is accompanied by significant challenges, including lack of transparency (the “black box” problem), discriminatory algorithmic errors, vulnerability to deepfakes, and conflicts with privacy rights. These challenges may undermine the principles of fair trial, including the right to defense and equality of arms. The article concludes that while the use of artificial intelligence in proving intentional homicide is both inevitable and powerful, it requires the development of robust legal and regulatory frameworks, including standards for algorithm validation, assurances of controlled transparency, and specialized training for judicial actors, in order to ensure that it serves, rather than undermines, the realization of criminal justice.