AI Writing Detection Tool Analyzes Linguistic Fingerprint to Check Authorship

FLINT Systems has introduced a new linguistic tool designed to detect whether a document was written by its attributed author. The system is designed not simply to detect whether a piece of writing was authored by an AI, but whether it was written by the person claiming authorship at all.

To do this, according to the company, the system "applies forensic linguistic methodologies to create a digital linguistic fingerprint of an individual's writing style. It then creates a linguistic fingerprint of the document at question and compares the two. Testing results showed that when documents were created by anyone other than the individual who submitted the document, FLINT Systems correctly identified in over 80% of the cases."

This "fingerprinting" approach distinguishes it from other AI writing detection tools like GPTZero becaue it eliminates the potential errors in detection that occur when AI-written content is edited by a human, the company said. "By applying linguistic fingerprinting technology, the FLINT System can correctly identify when an individual did not author the document, regardless of whether or not there are elements of humanly developed texts interwoven into the AI document."

A free trial of the system is available. In a test case, I compared one of my articles with three other articles I'd written, and it determined that the article in question was 50% to 55% likely to have been written by me. (It was written by me — although, as in the case of this article, it did contain quotes from other people.)

The free trial, which requires registration, is available at free.flintai.com/home. To use it, upload some documents from a single author. Then click the "Compare and Analyze" button to upload a document to compare against the previous documents.

For more information, visit flintai.com.

About the Author

David Nagel is the former editorial director of 1105 Media's Education Group and editor-in-chief of THE Journal, STEAM Universe, and Spaces4Learning. A 30-year publishing veteran, Nagel has led or contributed to dozens of technology, art, marketing, media, and business publications.

He can be reached at [email protected]. You can also connect with him on LinkedIn at https://www.linkedin.com/in/davidrnagel/ .


Featured

  • cybersecurity book with a shield and padlock

    NIST Proposes New Cybersecurity Guidelines for AI Systems

    The National Institute of Standards and Technology has unveiled plans to issue a new set of cybersecurity guidelines aimed at safeguarding artificial intelligence systems, citing rising concerns over risks tied to generative models, predictive analytics, and autonomous agents.

  • server racks, a human head with a microchip, data pipes, cloud storage, and analytical symbols

    OpenAI, Oracle Expand AI Infrastructure Partnership

    OpenAI and Oracle have announced they will develop an additional 4.5 gigawatts of data center capacity, expanding their artificial intelligence infrastructure partnership as part of the Stargate Project, a joint venture among OpenAI, Oracle, and Japan's SoftBank Group that aims to deploy 10 gigawatts of computing capacity over four years.

  • shield with an AI microchip emblem hovering above stacks of gold coins

    AI Security Spend Surges While Traditional Security Budgets Shrink

    A new Thales report reveals that while enterprises are pouring resources into AI-specific protections, only 8% are encrypting the majority of their sensitive cloud data — leaving critical assets exposed even as AI-driven threats escalate and traditional security budgets shrink.

  • blue and green network lines

    HPE Announces Agentic AI Enhancements to Mist Platform

    HPE recently announced new capabilities for its Juniper Mist platform that leverage agentic AI to enable more autonomous, intelligent, and proactive network operations.