AI Text Detection and How to Better Address the Issue

Brent A. Anders, Ph.D.
8 min readFeb 6
Image Source: Derivative work from

Text detection will be an ongoing “cat and mouse” game of trying to identify AI text as evasion techniques continue to develop, yet there are better ways to address the issue. Although many detection techniques are available (as well as planned AI text watermarking), there are also many ways to evade these detectors. It is important that we show the importance of academic integrity by pursuing these types of detection technologies while at the same time focusing more on instructional processes and assessment types/procedures.

AI text detection, with an accuracy of between 65% and 90% (Singh, 2023), continues to develop and improve using a variety of detection techniques as well as AI systems themselves including AI watermarks to improve later AI text detection. Below is a list of thirteen Artificial Intelligence (AI) text detectors (some free, some paid), yet this is just a partial list of what is available for academics to use to check students’ text if they feel necessary. “Watermarking text in ChatGPT involves cryptography in the form of embedding a pattern of words, letters and punctuation in the form of a secret code” (Monti, 2022, para. 8). Additional AI watermarking information available from the research article A Watermark for Large Language Models (Kirchenbauer et al., 2023).

AI Text Detectors:

· Writer AI Content Detector: (free)

· Open AI Classifier: (free)

· GPTZero: (free)

· Giant Language model Test Room: (free)

· Content at Scale: (free)

· AI Content Detector: (free)

· DetectGPT: (free)

· Sapling AI Detection: (free and paid option)

· Originaliy.AI: (paid)

· KAZAN SEO: (paid)

· Plagiarism Detector: (paid)

Brent A. Anders, Ph.D.

Anders has worked in higher academia for over 20 years, focusing on educational methodologies, motivation, media, AI, & instructional technologies.