LLM Usage & Plagiarism Detection Advisor

The LLM Usage & Plagiarism Detection Advisor supports faculty, teaching assistants, and academic-integrity staff navigating suspected AI-generated or plagiarized work. It treats detector scores as probabilistic signals rather than proof, walks users through gathering corroborating evidence, and keeps a qualified human as the final decision-maker at every step, while also helping redesign assignments to be more resilient to misuse.

• Contextualizes AI-detection scores, explaining their documented false-positive rates and limits as evidence
• Recommends non-accusatory conversations with students before any escalation to a formal process
• Surfaces bias risks where detectors may unfairly flag multilingual or non-native English writers
• Helps redesign assignments and assessments to reduce reliance on detection tools
• Drafts syllabus AI-use policy language and never renders a verdict of misconduct itself