This article explores a novel approach to technology-enabled review of evidentiary material implemented by the United Nations International, Independent and Impartial Mechanism – Syria ('IIIM – Syria’ or ‘the Mechanism’). The Mechanism’s objective in pursuing automation is to significantly accelerate the speed and improve the consistency of review and analysis of large, digitized documentary data sets used in the pursuit of accountability for crimes committed in Syria. This approach represents one of the first uses of Computer Vision applied to documentary evidence in the field of international criminal investigations and is a tangible example of public–private cooperation developing meaningful technology-based upon modern best practices. The article first discusses why technological innovation in investigative analysis is necessary in relation to the Syrian conflict. Next, the article reviews the approach adopted by IIIM – Syria towards applying existing and novel technology in the processing, preservation, and analysis of evidentiary material. Specifically, it explores how the organization executed a novel approach to technology-enabled review of evidentiary material through the application of Computer Vision techniques designed by forensic and eDiscovery experts. Finally, the article explores the wider investigative possibilities presented by the use of Computer Vision as a technique for analytical review.

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计算机视觉在叙利亚危机中推进问责制的潜力

本文探讨了一种由联合国国际、独立和公正机制 - 叙利亚（“IIIM - 叙利亚”或“机制”）实施的证据材料审查的新方法。该机制追求自动化的目标是显着加快审查和分析大型数字化文档数据集的速度并提高其一致性，这些数据集用于追究在叙利亚所犯罪行的责任。这种方法代表了计算机视觉在国际刑事调查领域应用于文件证据的首批用途之一，并且是公私合作基于现代最佳实践开发有意义的技术的一个具体例子。本文首先讨论了为什么调查分析中的技术创新对于叙利亚冲突是必要的。接下来，本文回顾了 IIIM – 叙利亚在证据材料的处理、保存和分析中应用现有技术和新技术所采用的方法。具体来说，它探讨了该组织如何通过应用由法医和电子发现专家设计的计算机视觉技术来执行一种新的方法来对证据材料进行技术支持的审查。最后，本文探讨了使用计算机视觉作为分析审查技术所带来的更广泛的调查可能性。以及对证据材料的分析。具体来说，它探讨了该组织如何通过应用由法医和电子发现专家设计的计算机视觉技术来执行一种新的方法来对证据材料进行技术支持的审查。最后，本文探讨了使用计算机视觉作为分析审查技术所带来的更广泛的调查可能性。以及对证据材料的分析。具体来说，它探讨了该组织如何通过应用由法医和电子发现专家设计的计算机视觉技术来执行一种新的方法来对证据材料进行技术支持的审查。最后，本文探讨了使用计算机视觉作为分析审查技术所带来的更广泛的调查可能性。