Safeguarding Authenticity in Text with BERT-Powered Detection of AI-Generated Content-Reference-Cited by-同舟云学术

Safeguarding Authenticity in Text with BERT-Powered Detection of AI-Generated Content

Published:2024-04-24 Issue: Volume: Page:
ISSN:
Container-title:2024 International Conference on Inventive Computation Technologies (ICICT)
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Author:

Chakraborty Utsho¹,Gheewala Jaydeep²,Degadwala Sheshang³,Vyas Dhairya⁴,Soni Mukesh⁵

Affiliation:

1. Gujarat Technological University,Computer Engineering,India

2. Sarvajanik College of Engineering and Technology Surat,Gujarat,India

3. Sigma University,Dept. of Comm. Engg.,Gujarat,India

4. The Maharaja Sayajirao University of Baroda,Vadodara,Gujarat,India

5. Dr. D. Y. Patil School of Science & Technology,Tathawade,Pune

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10543255/10544376/10544590.pdf?arnumber=10544590

Reference16 articles.

1. Detecting and Unmasking AI-Generated Texts through Explainable Artificial Intelligence using Stylistic Features

2. Accurately detecting AI text when ChatGPT is told to write like a chemist

3. Why technical solutions for detecting AI-generated content in research and education are insufficient

4. Opinion Paper: ‘So what if ChatGPT wrote it?’ Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy;Dwivedi,2023

5. Is This Abstract Generated by AI?;Ma;A Research for the Gap between AI-generated Scientific Text and Human-written Scientific Text,2023

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