Third-Party Studies Continue to Confirm Copyleaks AI Detector as the Most Accurate

Key Takeaways:

• Most Accurate Detector: Independent studies show that Copyleaks’ AI Detector is one of the most accurate for detecting Large Language Models (LLMs).
• International Studies: Third-party international studies confirm Copyleaks’ accuracy in detecting AI-generated content.
• Machine Learning: Copyleaks provides in-depth AI detection, and machine learning allows it to evolve alongside AI technology to ensure the most up-to-date results.
• Reliable Solution: Copyleaks is a reliable solution that effectively detects AI-generated text and adapts to technological advancements.

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In July 2023, four researchers from across the globe published a study on the Cornell Tech-owned arXiv, declaring Copyleaks AI Detector the most accurate for detecting Large Language Models (LLM) generated text. 

For the study, the researchers collected 124 submissions from computer science students written before ChatGPT was created. They then generated 40 ChatGPT submissions and used the data to evaluate eight publicly available LLM-generated text detectors. 

Here were their key findings,

That was just the beginning. 

Since then, additional independent third-party studies have been released, each one highlighting the accuracy and efficiency of the AI Detector.

Check out the findings below. 

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Study: Detecting AI Content in Responses Generated by ChatGPT, YouChat, and Chatsonic: The Case of Five AI Content Detection Tools

Author: Chaka Chaka, University of South Africa

Published: July 2023

Read the full study here.

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Study: How Hard Can It Be? Testing the Reliability of AI Detection Tools

Author: Daniel Lee, University of Adelaide

Published: September 2023

Read the full study here.

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Study: The Effectiveness of Software Designed To Detect AI-Generated Writing: A Comparison of 16 AI Text Detectors

Author: William H. Walters, Manhattan College

Published: October 2023

Percentage of all 126 documents for which each detector gave correct, uncertain, or incorrect responses.

Read the full study here.

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Study: Accuracy Pecking Order – How 30 AI detectors stack up in detecting generative artificial intelligence content in university English L1 and English L2 student essays

Author: Chaka Chaka, University of South Africa

Published: April 2024

Read the full study here.

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Study: How Sensitive Are the Free AI-detector Tools in Detecting AI-generated Texts? A Comparison of Popular AI-detector Tools

Author: Sujita Kumar Kar, Teena Bansal, Sumit Modi, and Amit Singh, Indian Journal of Psychological Medicine

Published: May 2024

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Read the full study here.

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Study: Boston University AI Task Force Report on Generative AI In Education and Research

Author: BU AI Research & Teaching Taskforce

Published: April 5, 2024

Read the full study here.

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Study: AI tools vs AI text: Detecting AI-generated writing in foot and ankle surgery

Author: Steven R. Cooperman DPM, MBA, AACFAS, Roberto A. Brandão DPM, FACFAS

Published: February 2024

Read the full study here.

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Study: Bachelor Degree Project – Automatic detection of AI-generated source code in programming courses

Author: Erik Pirntke, Wictor Rindebrant, Linnaeus University

Supervisor: Johan Hagelbäck

Published: Spring Semester 2024

Read the full study here.

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As the studies show, with Copyleaks, you can have complete peace of mind with a solution that covers all of your AI detection bases, evolves with the ever-changing technology, and ensures originality while inspiring authenticity.