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Your AI Detection Tool Is Lying to You About False Positives AI Detection 7 min
Alex Petrov Alex Petrov · 6 months ago

Your AI Detection Tool Is Lying to You About False Positives

AI code detection reports a 95% match. Your gut says it's wrong. You're probably right. This guide shows you how to move beyond the confidence score and conduct a forensic code review that separates AI-generated patterns from legitimate student work. We'll walk through three real student submissions from UC Berkeley's CS 61A course and show you exactly what to look for.

The Stanford Professor Who Found 47% AI Code in One Assignment Case Studies 6 min
Rachel Foster Rachel Foster · 6 months ago

The Stanford Professor Who Found 47% AI Code in One Assignment

Professor Aris Thakker’s CS106B assignment looked perfect on the surface. The code compiled, the logic was sound, but something felt deeply off. His investigation, moving beyond traditional similarity checkers, revealed a silent epidemic of AI-generated submissions that threatened to undermine the entire course. This is the story of how one professor learned that in the age of Copilot, plagiarism detection must evolve or become obsolete.

Detecting AI-Generated Code in Student Submissions: A Practical Guide AI Detection 9 min
Priya Sharma Priya Sharma · 6 months ago

Detecting AI-Generated Code in Student Submissions: A Practical Guide

AI code generators are changing how students complete assignments. This guide provides CS educators with concrete methods to detect AI-generated code, from analyzing structural patterns to using specialized detection platforms. Learn to maintain academic integrity in the age of Copilot and ChatGPT.