Keynote: Biometrics and Behavior for Information Forensics and Learning Assessment in Online Education

Digital forensics plays a crucial role in forensic science by transforming crime scene traces into evidence through advanced technologies. This talk explores the role of digitalization and AI in digital forensics, addressing both potential and challenges in investigations. As digitalization grows, new threats emerge, including bias in AI algorithms and data privacy concerns. Research is vital to harness AI’s benefits while minimizing risks. While AI enhances the fight against digital crimes, it also empowers criminals with advanced tools. Criminals quickly adopt new technologies, making it crucial for the forensic community to stay ahead by incorporating AI advancements to improve accuracy and efficiency in solving crimes. Forensic management needs to guide AI’s integration, ensuring efficiency, robustness, and other key factors. AI also enables large-scale monitoring and rapid analysis of vast and heterogenous digital data for complex crime scenes. Emerging technologies, such as multimodal AI for 3D crime scene modeling (digital twins), are revolutionizing crime scene analysis by providing virtual reconstructions that improve documentation and evidence identification. Examples will be provided on the subject.