Furthermore, the Trojan Horse method highlights a growing digital divide. Savvy students who understand how LLMs work may eventually learn to "clean" their prompts of hidden metadata or use tools that strip formatting before generating text. This turns academic integrity into a technological arms race where the most technically proficient students can still bypass the rules, while less experienced students are the ones most likely to be caught.

From a pedagogical standpoint, these traps serve as a necessary deterrent in an era where traditional plagiarism detectors often fail to catch uniquely generated AI content. The use of a Trojan Horse allows teachers to maintain the rigor of their assignments without needing to subscribe to expensive or often inaccurate AI-detection software. It places the responsibility of integrity squarely on the student; a student who reads and interprets the prompt personally would never see, and therefore never include, the hidden text.

The Invisible Proctor: The Ethics of Digital "Trojan Horses" in Modern Education