AI detectors promise to spot machine-generated text, but they’re far from perfect. This chapter explains how these tools work (using metrics like perplexity and burstiness) and why they often mislabel non-native English speakers or heavily edited drafts. You’ll learn to interpret detector results critically and advocate for yourself if flagged unfairly. The takeaway? Transparency and ethical AI use matter more than chasing “human-like” scores.