This research thrust establishes AI Forensics as a critical research domain, addressing the investigation, security, and ethical challenges posed by Generative AI models, AI-driven platforms, and emerging technologies. The research explores forensic methodologies for various AI systems, including large language models (LLMs) like ChatGPT and Gemini, AI-powered image and video generators, and consumer AI-driven devices such as smart glasses, AR/VR headsets, and mobile operating systems like Android and Windows.

The long-term goal is to develop forensic techniques for detecting AI-generated content, tracing AI-driven cybercrimes, and analyzing digital artifacts left by AI applications across platforms. This involves investigating AI-assisted fraud, misinformation, deepfakes, and privacy risks, while assessing the limitations of current forensic tools in analyzing AI-generated data. The project integrates cybersecurity, digital forensics, and criminology, aiming to equip law enforcement, forensic professionals, and researchers with the skills to handle AI-powered cyber threats and security vulnerabilities.

Beyond research, this initiative advances AI forensic education and workforce training, incorporating AI forensics into cybersecurity and criminal justice curricula. Through collaborations with industry, academia, and policymakers, the project will contribute to AI governance, policy recommendations, and the development of forensic solutions for next-generation AI technologies.

• ChatGPT Forensics (Under Review)