Humanizing AI-Generated Text: Techniques and Future Directions
Riju Marwah
Department of Computer Science Engineering, Guru Gobindh Singh Indraprastha University, Delhi, India
ABSTRACT:
Content creation has been revolutionized by advanced natural language generation (NLG) models but this also poses a challenge in differentiating AI-written and human-written texts. AI Humanizers have been designed to modify AI-written content into more natural, human-like words which are also contextually appropriate. This paper explores the techniques used by these humanizers to achieve content that seems human-written, often rendering AI-detectors ineffective. Methods such as lexical substitution, sentence restructuring sentiment adjustment, etc. This paper aims to give a deep understanding of how AI humanizers function.
Published in: International Journal of Research in Engineering, Science and Management (Volume 7, Issue 11, November 2024)
Page(s): 28-31
Date of Publication: 17/11/2024
Publisher: IJRESM
Cite as: Riju Marwah, “Humanizing AI-Generated Text: Techniques and Future Directions,” in International Journal of Research in Engineering, Science and Management, vol. 7, no. 11, pp. 28-31, November 2024.