This research introduces novel techniques for tracing and explaining the origins of AI-generated content, addressing critical security and ethical concerns.

• Proposes methods to identify which specific AI model generated an image or text
• Addresses growing risks of unethical or illegal content generation
• Develops the AI-FAKER dataset for evaluating detection capabilities
• Emphasizes authorship detection as a security necessity

From a security perspective, this work provides essential tools to combat misuse of generative AI, enabling accountability and helping organizations distinguish between human and AI-created content in an increasingly complex digital landscape.

Could AI Trace and Explain the Origins of AI-Generated Images and Text?