Turning AI from a cheating tool into a cheating-prevention system
As AI misuse in examinations rises globally, system-level solutions are needed. NO-AI-ASSIST proposes a technical standard to protect academic integrity.
Current examination systems are vulnerable to AI-powered cheating
Students can easily use Google Lens, Circle-to-Search, ChatGPT, and other AI tools during exams
Google Forms and PDF exams can be instantly captured and analyzed by AI systems
Honest students are disadvantaged when others use AI assistance undetected
Exams no longer measure real understanding when AI does the work
A conceptual 4-step flow showing intended system behavior
Exam PDFs include a standardized "NO-AI-ASSIST" watermark visible in the document
Student uploads or scans the exam paper using an AI tool (ChatGPT, Gemini, Claude, etc.)
AI system recognizes the watermark as a restricted academic examination document
"This content is restricted. I cannot assist with examination materials."
NOTE: This is a conceptual demonstration of intended system behavior. Real implementation requires AI provider cooperation.
The impact of NO-AI-ASSIST implementation
The broader impact and future potential
Ensures all students are evaluated on their own knowledge and abilities
Prevents AI-enabled cheating at the technical level, not just policy
Reduces burden on educators to manually detect AI-assisted cheating
Promotes ethical AI deployment in educational contexts
This is a conceptual proposal.
Real-world implementation requires cooperation from AI model providers (OpenAI, Google, Anthropic, Meta, etc.) and standardization across the education sector.
Is this idea worth building further?