How AI detectors work and how to navigate them: detection signals, false positive risks, and what the scores mean for academic writers.
39 articles · Page 7 of 7
Perplexity is the number a language model produces to describe how surprised it was by your word choices. This post traces the metric to its 1977 origin, works through the formula, and explains why the same passage can score differently depending on which model is doing the reading.
Vendors publish false positive rates under 1 percent. Independent researchers testing the same detectors on non-native English writing found rates above 60 percent. Here is what the evidence shows.
AI detectors do not recognise machine writing the way a reader does. They measure how predictable your text is, then turn that into a score. Once that clicks, both the technology and its failures make more sense.