Unveiling the Environmental Implications of Automatic Text Generation and the Role of Detection Systems

Abstract

The emergence of artificial intelligence (AI) and natural language processing (NLP) technologies has led to the proliferation of automated systems capable of generating text. While these advancements have enhanced various fields, such as language translation and content generation, they have also given rise to concerns regarding the potential misuse of generated texts, particularly in the context of environmental preservation. This scientific article investigates the intricate relationship between automatic detection of generated texts and the environment. We examine the impact of generated texts on environmental awareness, misinformation propagation, and the role of automated detection systems in mitigating the risks associated with generated content. Our findings highlight the crucial need for robust detection mechanisms to preserve the integrity of environmental discourse and ensure sustainable decision-making.

Keywords

• automatic detection
• generated texts
• environment
• environmental awareness
• misinformation
• disinformation
• manipulation
• conservation efforts
• ai
• nlp
• machine learning
• detection systems
• ethical considerations
• government regulations
• collaborative efforts
• interdisciplinary research
• policy frameworks
• education
• awareness
• future directions
• sustainable development