Decoding the AI Pen: Techniques and Challenges in Detecting AI-Generated Text

arXiv:2403.05750v1 Announce Type: cross
Abstract: Large Language Models (LLMs) have revolutionized the field of Natural Language Generation (NLG) by demonstrating an impressive ability to generate human-like text. However, their widespread usage introduces challenges that necessitate thoughtful examination, ethical scrutiny, and responsible practices. In this study, we delve into these challenges, explore existing strategies for mitigating them, with a particular emphasis on identifying AI-generated text as the ultimate solution. Additionally, we assess the feasibility of detection from a theoretical perspective and …

abstract ai-generated text arxiv challenges cs.ai cs.cl cs.lg decoding ethical generate generated however human human-like language language generation language models large language large language models llms natural natural language natural language generation nlg practices responsible study text type usage