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.
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.
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.
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.
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.
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.
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
Read the full study here.
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.
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.
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.
Study: Department of Computer Science and Engineering Chalmers University University of Technology University of Gothenburg
Author: Adam Landberg
Published: 2024
Read the full study here.
Study: Comparing ai detectors: evaluating performance and efficiency
Author: Jeremie Busio Legaspi, Roan Joyce Ohoy Licuben, Emmanuel Alegado Legaspi, and Joven Aguinaldo Tolentino.
Published: July 18, 2024; International Journal of Science and Research Archive
Read the full study here.
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.
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