3 books about AI detectors [PDF]

October 08, 2025 | Author: Maria Lin
How do AI detectors determine whether a text has been generated by a language model? Well. they rely on a combination of methods, but the primary one is that the model goes through the text, (virtually) closes each word and attempts to predict it basing on all the other words. If it succeeds in guessing all words with a high probability, the text is generated.

Secondary methods, for example, identify specific words frequently used in LLM: realm, delve, comprehend, swift, meticulous. Feature extraction has also proven effective - detector takes the activations of one word and then sums activations of all the features across all words. As a result, a single fingerprint vector is obtained for each text, which shows which features are dominant in it. Some of these vectors are very specific to LLM.

Furthermore, the AI ​​detector is triggered if the text contains overly complex, nested and grammatically unwieldy sentences, using complex wording for simple ideas and attempts to "bluff" by connecting unrelated facts. Long introductions and bulleted/numbered lists, repetition of the same idea several times, synonyms separated by commas and redundant explanations of obvious facts are also considered suspicious.

Here are some PDF books on AI detectors:

The Age of Generative Artificial Intelligence
2025 by Erdil ASLAN, Muhammet DAMAR, Melih TAKYACI


Download PDF

Teaching with AI: A Practical Guide to a New Era of Human Learning
2024 by Jose Antonio Bowen, C. Edward Watson



Download PDF
Generative AI and Education: Digital Pedagogies, Teaching Innovation and Learning Design
2024 by B. Mairead Pratschke


Download PDF

See also: Top 10 eBook Organizers


How to download PDF:

1. Install Gooreader

2. Enter Book ID to the search box and press Enter

3. Click "Download Book" icon and select PDF*

* - note that for yellow books only preview pages are downloaded
Author: Maria Lin
Maria Lin, is a seasoned content writer who has contributed to numerous tech portals, including Mashable and bookrunch, as a guest author. She holds a Master's degree in Journalism from the University of California, where her research predominantly concentrated on mobile apps, software, AI and cloud services. With a deep passion for reading, Maria is particularly drawn to the intersection of technology and books, making book tech a subject of great interest to her. During her leisure time, she indulges in her love for cooking and finds solace in a good night's sleep. You can contact Maria Lin via email maria@bookrunch.com