The intersection of artificial intelligence (AI) and digital forensics (DF) is becoming increasingly complex, ubiquitous, and pervasive, with overlapping techniques and technologies being adopted in all types of scientific and technical inquiry. Despite incredible advances, forensic sciences are not exempt from errors and remain vulnerable to fallibility. To mitigate the limitations of errors in DF, the systemic complexity is identified and addressed with the adoption of human-readable artifacts and open standards. A DF AI model schema based on the state of the art is outlined.

翻译：人工智能（AI）与数字取证（DF）的交叉领域正变得日益复杂、普遍且渗透性增强，各类科学与技术探究中均采用了相互重叠的技术与方法。尽管取得了显著进展，取证科学仍无法完全避免错误，且依然存在可错性。为缓解数字取证中错误的局限性，本文通过采用人类可读的工件与开放标准，对系统性复杂度进行了识别与应对。文中基于当前技术前沿，概述了一种数字取证人工智能模型架构。