The AI Auditor — Smart Prompting, Fact-Checking, and Data Defense
As artificial intelligence shifts from a novel tool to an everyday interface in higher education, students and researchers face critical vulnerabilities, including factual misinformation, accidental plagiarism, fabricated academic citations, and unintended data leakages. Organized under the National Education Policy (NEP 2020) SAARTHI October Mandate— "Cyber Smart and Cyber Safe" —the AI Auditor framework provides higher education students with the methodology required to navigate Generative AI responsibly. An AI Auditor is defined not as a scholar who rejects AI, but as an active, discerning researcher who directs AI intelligently, audits its responses critically, and protects digital personal and institutional data rigorously. Critical Takeaways Mechanics of AI Hallucinations: Large Language Models (LLMs) operate as probabilistic next-token prediction systems rather than factual databases. Studies indicate unassisted, general-purpose LLMs fabricate upwards of 30–50% ...