The Construction of the AI Positive and Negative Traits in Scientific Articles: A Cognitive Linguistic Study

Abstract

Artificial intelligence (AI) is presented as a pioneering tool that has the potential to revolutionize various aspects of human life. Artificial intelligence has a greater impact on influencing the future than any other development in this century. AI-powered technologies, such as plagiarism detection software, text generation algorithms, and automatic essay graders, have emerged as helpful resources for students looking to improve their abilities. The current paper endeavours to explore the construction of AI's positive and negative traits in scientific articles. The data for the current paper consists of sixteen extracts selected from eight scientific articles about positive traits and eight scientific articles about negative traits that have been written on AI. This paper utilizes the Dynamic Model of Meaning to demonstrate how a cognitive linguistic perspective constructs the positive and negative traits of AI. The results have revealed interesting findings about how language integrates prior experiences with the present context present context to construct dynamic meaning. Moreover, there are both similarities and differences between constructing positive and negative traits.